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Meter's mission and long term ambition Meter builds better internet infrastructure. We make it exceptionally easy for any business to have great computer networking, internet, and Wi-Fi. Businesses of all sizes and industries increasingly rely on internet infrastructure for daily operations, yet getting connected today is incredibly difficult. To solve this problem, Meter builds and manages a vertically integrated solution across hardware, software, and operations. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility. To turn internet infrastructure into a utility, we need to add intelligence to its performance, availability, and security layers. Our team has built Command , a generative UI product driven by a custom model, with many more model-driven initiatives described at meter.ai . We have the team, compute, and roadmap to execute on this. To create the best models possible, we need to continuously iterate on our model evaluations and training data This role is critical to Meter's success We are hiring a data scientist to assist in building and evaluating models. Your day-to-day responsibilities will be manifold – from working with our AI research team to perform analyses on training data, to writing evaluation examples based on customer use cases. There will be a lot of scripting to create analyses and data pipelines informed by interactions with end-users of our AI products. The right candidate will be able to leverage their expertise in data science and programming languages such as Python, JavaScript, or an equivalent to construct data pipelines. You will have an impact by Writing analysis scripts that correlate training data to model performance measured by benchmarks you define Creating pipelines that create, curate, and edit training and evaluation data for Meter’s AI products Conducting user interviews to understand and simulate user behavior, and to provide benchmarking data for Meter’s AI products Learning Meter’s dashboard and technical architecture Learn more about how we operate and some of our work What is Meter? Meter: the internet utility by Packy McCormick How we operate Vertical integration in practice Compensation We think about Meter's compensation package as a combination of salary, equity, benefits, and the experience of working with a talented team to make the biggest impact of your career.  The estimated pay range for this role is $145,000 - $185,000.  Additionally, this role is eligible to participate in Meter's equity plan. The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. Benefits Medical, dental & vision insurance coverage for you and your dependents Annual memberships to One Medical, Headspace and Rightway 401k (traditional and Roth options available) Flexible time off (FTO) Commuter reimbursement Parental Leave In-house chef and onsite meals (San Francisco Office)

Meter's mission and long term ambition Meter builds better internet infrastructure. We make it exceptionally easy for any business to have great computer networking, internet, and Wi-Fi. Businesses of all sizes and industries increasingly rely on internet infrastructure for daily operations, yet getting connected today is incredibly difficult. To solve this problem, Meter builds and manages a vertically integrated solution across hardware, software, and operations. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility. To turn internet infrastructure into a utility, we need to add intelligence to its performance, availability, and security layers. Our team has built Command, a generative UI product driven by a custom model, with many more model-driven initiatives described at meter.ai. We have the team, compute, and roadmap to execute on this. To create the best models possible, we need to continuously iterate on our model evaluations and training data This role is critical to Meter's success We are hiring a data scientist to assist in building and evaluating models. Your day-to-day responsibilities will be manifold - from working with our AI research team to perform analyses on training data, to writing evaluation examples based on customer use cases. There will be a lot of scripting to create analyses and data pipelines informed by interactions with end-users of our AI products. The right candidate will be able to leverage their expertise in data science and programming languages such as Python, JavaScript, or an equivalent to construct data pipelines. You will have an impact by Writing analysis scripts that correlate training data to model performance measured by benchmarks you define Creating pipelines that create, curate, and edit training and evaluation data for Meter's AI products Conducting user interviews to understand and simulate user behavior, and to provide benchmarking data for Meter's AI products Learning Meter's dashboard and technical architecture Compensation We hold a high bar at Meter, and in return, we take care of our team and their families. We think about Meter's compensation package as a combination of salary, equity, and benefits. Our benefits support an ambitious culture: from in-office meals to thoughtful health benefits and time off that enables real rest. We invest in what helps people do their best work. The estimated salary range for this role is $145,000 - $220,000. Additionally, this role is eligible to participate in Meter's equity plan. The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems. Key Responsibilities: 25% Solution Development - Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations 20% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 35% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has 0 Direct Reports and leads/manages projects Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience. 10+ years of experience in business intelligence and analytics Expertise in a modern scripting language (preferably Python) Expertise running queries against data (preferably with Google BigQuery or SQL) Advanced knowledge of Microsoft Office Suite Expertise with data visualization software (preferably Tableau) Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated mastery in predictive modeling, data mining and data analysis Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Persuades: Using compelling arguments to gain the support and commitment of others Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications The application window is anticipated to be closed on October 31, 2024.

Job Description We are seeking a collaborative and experienced Associate Dean to support the academic and administrative leadership of the School. Reporting directly to the Dean, this role plays a critical part in advancing our teaching, research, and student success mission. The Associate Dean works closely with faculty, staff, and program directors to support curriculum development, faculty affairs, student advising, and school operations. This position also serves as a key liaison with university offices and represents the School when the Dean is unavailable. Key Responsibilities: Support faculty hiring, onboarding, development, and mentoring. Oversee curriculum processes, course scheduling, and program support. Lead student success initiatives, including advising, retention, and graduation review. Manage staff coordination, lab operations, and administrative support. Assist with strategic planning, budget planning, and accreditation efforts. Teach up to two courses per year. The ideal candidate will have strong leadership skills, experience in academic administration, and a passion for student-centered education. Minimum Requirements: Doctoral degree in Computer Science, Cybersecurity, Applied Mathematics, Mathematics, or related field; 3 - 5 years academic administration experience; 3 - 5 years teaching experience in related field of expertise; Comprehensive knowledge and understanding of higher education and its challenges and opportunities; Experience in serving students, management, and leadership; Established record as an exceptional teacher and scholar or comparable professional achievement meriting the rank of an associate or full professor in an appropriate discipline; 3+ years academic administration experience in technical management field; Record of commitment to inclusive excellence. Preferred Qualifications: 5 - 8 years academic administration experience; 5 - 8 years teaching experience in related field of expertise Multidisciplinary/inter-disciplinary education Established record of working across academic or disciplinary units and programs Demonstrated knowledge of assessment and accreditation standards (ABET, NECHE, etc.); Demonstrated leadership, management, and time-management skills; Demonstrated ability to work independently with professional discretion and judgment; Demonstrated support for traditional and emergent technologies and the development of innovative, future-oriented curricula; Strong organizational skills to balance multiple and simultaneous priorities; Interest in student, faculty and staff well-being/collegiality; Interpersonal skills that indicate a high level of professionalism, initiative, resourcefulness, and personal accountability Be a part of a team shaping the future of higher education. About Wentworth & the School of Computing and Data Science: Wentworth is an institution known as a university of opportunity with a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Computer Science, Data Science, and Cybersecurity. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Our faculty comprises individuals from wide-ranging backgrounds and experiences, where collaboration is highly encouraged and supported, and our School has no department boundaries. Another point of pride is that our faculty members include those with significant industrial, consulting, entrepreneurial, and project management experience. Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan . Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth’s commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu . E-Verify for Employment Eligibility Verification ( Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description Verily’s internship is a paid 12-month program for graduate students who are interested in working at the intersection of technology, data science, and healthcare. The program is designed for all students, and again this year we encourage students who have been historically underrepresented in this field to explore the program, which is a pathway towards full-time employment within Verily. This includes but is not limited to: Black/African-American, Latinx/Hispanic, Native American, students with disabilities, veterans, and non-binary people. As a PhD Intern on the Clinical AI team at Verily, you will contribute to our mission of transforming healthcare through scalable, real-world data (RWD) curation and AI-driven tools. You’ll work on key problems involving electronic health records (EHRs), clinical narratives, and foundational models to help us build high-quality longitudinal datasets and intelligent systems that power precision health at scale. This internship provides the opportunity to lead independent research, publish findings, and work collaboratively with engineering, clinical, and product teams. Join us for a unique 12-month internship starting in 2025. Responsibilities Collaborate with cross-functional teams to develop and refine machine learning models using real-world healthcare data. Design and prototype NLP/LLM solutions to extract insights from unstructured clinical text. Support development of foundational datasets through multi-source data integration and clinical concept abstraction. Conduct literature reviews and comparative evaluations to inform model design and healthcare applications. Communicate progress through internal presentations and, where applicable, contribute to academic publications. Qualifications Minimum Qualifications: Currently pursuing a PhD in Computer Science, Biomedical Informatics, Statistics, Data Science, or a related technical field. 2+ years of experience applying machine learning or NLP to clinical or real-world healthcare data. Strong programming skills in Python and experience with ML/NLP frameworks such as TensorFlow, PyTorch, or HuggingFace. Experience working with electronic health records (EHRs), clinical notes, or medical ontologies. Preferred Qualifications: Familiarity with large language models (LLMs), including prompting, fine-tuning, or retrieval-augmented generation (RAG). Knowledge of medical terminologies (e.g., SNOMED CT, ICD-10, RxNorm) and ontological structuring. Experience developing production-ready ML pipelines or tools in healthcare or life sciences. Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders. Interest in translating research into real-world, scalable applications. The US hourly range for this internship position is $53–$63 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING Data Scientist Job Responsibilities: Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead data experiments tasked by the Data Science Team. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Develop and implement statistical models. Work with Machine Learning engineering team to implement model. Analyzes problems and determines root causes. Helps identify company data assets and assists in defining data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Qualifications / Skills: Machine learning, regression analysis, statistical testing Feature engineering and data cleansing Advanced analytical knowledge of data Conducting big data analysis Data conditioning Programming advanced computing Developing algorithms Developing software and data models Executing predictive analytics Education, Experience, and Licensing Requirements: 5+ years of professional experience Proficient with one or more programming languages (Python, R, Java, C++, etc.) Experience working with TensorFlow, SciKit Learn, NumPy, SciPy Experience working with NLP and BERT Experience implementing deep learning Specific examples using LSTM, RNN, and SVM a plus Git experience and Kubernetes a plus Experience working in AWS or Azure Demonstrated experience applying data science methods Experience implementing agile approach to artificial intelligence algorithm development "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING We are looking for a candidate who can work full-time with a flexible schedule based on operating hours. Our ideal candidate is someone who has these qualities: Positive Attitude. You approach work in a cheery and optimistic way. Reliable & Dependable. You like to see a job well done and will ensure that things are done the “right” way. You show up for all scheduled shifts on time and ready to work. Self Starter. You are comfortable owning a task from start to finish and you take the initiative to make continuous process improvements. You observe strict deadlines and hold yourself accountable for your deliverables. Multi-Tasking Expert. You can work in a sometimes hectic workspace without getting flustered or losing your helpful personality What You'll Be Doing You will be the "go-to-guy" for all of our clients’ needs - from facilitating support requests to educating our clients about our product. You will create and maintain relationships with our clients via email, phone, text, and various social media channels. Our primary channel of communication is through email. You will foster a community of online and offline advocates. What We Are Looking For You are articulate. You have strong written, verbal and interpersonal skills. Even better, you practice empathy in all spheres. You will be happy to eloquently respond to at least 50 emails per day as well as taking calls from customers. Some of these emails will take only a few seconds to respond to while others may take longer for the perfect personal touch. You understand the importance of details. You don’t sweat the small stuff and thrive in a fast-paced and ever-changing environment, yet you have a keen ability to recognize nuance. You have experience with customer service, meeting sales targets and are excited to facilitate the ultimate customer experience. You are team-oriented. You understand the importance of a positive attitude, you are always seeking personal and professional growth and you are always there to lend a hand. Happy to work afternoon and evening shifts as required. Able to type at a minimum of 50 words per minute with 100% accuracy. What You Can Expect An inclusive, fun workplace filled with fantastic colleagues. The ability to work from home or from our head office Competitive pay and bonuses, as well as the opportunity to participate in our Employee Stock Option Plan. Comprehensive health benefits (including medical, dental, vision and life-insurance) after 90 days of successful employment. We are an Equal Opportunity Employer (EOE) and prohibit discrimination of any kind. We value diversity at our company and at all job levels our goal is to be diverse, inclusive and representative of the communities where we operate. "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company – delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best-in-class customer experiences in an innovative, collaborative environment. Who we are looking for: Toyota Financial Services (TFS) Data & Analytics (DnA) team is looking for a highly motivated, driven graduate students with an interest in technology, financial services, and the automotive industry to fill internship roles in our Data Science team. The Data Science Internship Program is designed to provide a combination of on-the-job experience, networking, and mentorship, which are critical components for personal and professional growth. As a Data Science Intern, you will spend approximately 12 weeks at our Toyota Headquarters in Plano, TX gaining relevant work experience with a globally respected company. The program will run from June – August 2024. Strong performers are often given the opportunity to return for future internships and interview for full-time positions. What you’ll be doing: Through this internship, you will uncover actionable insights through data analysis and help drive data-based decision making throughout the customer lifecycle. You will have the ability to support one or more areas, including but not limited to: Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Finance & HR, or associated business including Insurance and Manufacturing. Partner with the business to identify the most important questions that need to be answered about our customers and their value. Hands on data extraction and data wrangling from internal and external systems using SQL, Python, R, etc. Analysis and model building using advanced analytics tools and techniques using statistical software packages like SAS, Python, R, etc. Develop, manage and deploy analytic solutions using statistical software packages like SAS, R, Python, etc. Build PowerPoint presentations to recommend business decisions. Create output and or results that visualize findings using fixed reports and or tools like Tableau/Power BI Develop analytical project plans and integrate inflows and outflows of information with teams upstream and downstream from analytical efforts. Attend and participate (where appropriate) in various project planning and prioritization sessions. Projects may include: Credit Risk Champion Challenger Model - create a new model to predict customer credit risk using a more advanced predictive algorithm to either find a better way of predicting customer credit risk or validate that the current model performs better than the proposed new model. Price Testing for Hourly Vehicle Rentals - implement multiple pricing tests and analyzed the resulting data to learn the impact of various pricing strategies on the hourly rental business. Interest Rate Reduction Test - implement a test where the interest rates charged in some areas of the country were reduced by a specified amount and the resulting data was analyzed using statistical methods to calculate the impact of the rate reduction on specific KPIs. What you bring: Within 1 year of completing a Master’s or Ph.D. in a heavily analytical discipline Advanced hands-on experience with tools such as Python (NumPy/Pandas), scikit-learn, R, and/or SAS. Experience in using a variety of statistical and machine learning techniques to solve problems. Exposure and familiarity with topics like Logistic Regression, Time Series Analysis, Experimental Design, Generalized Linear Models, Mixed Modeling, Multivariate Statistics, Large-Scale Predictive Modeling, CHAID/decision trees, Gradient Boosted Trees, Random Forests, and Neural Networks. Ability to problem solve and think outside the box with a passion to learn and grow Presenting analysis results and making recommendations to leadership Belonging at Toyota Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question or need assistance with your application? Please send an email to talent.acquisition@toyota.com .

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Use your expertise in data engineering to build next generation analytical capabilities at Adobe. The Customer Analytics & GTM team is passionate about using the power of data to deliver optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platforms with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires an ability to own projects, come up with innovative solutions, try new tools and technologies, and possess an entrepreneurial personality. Come join us for a truly exciting career, best benefits, and outstanding work-life balance! What you will do Build fault-tolerant, scalable, quality data pipelines using multiple cloud-based tools. Develop analytical and personalization capabilities using modern and powerful technologies by bringing to bear Adobe tools. Build LLM agents to optimize and automate data pipelines following the best engineering practices. Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Provide innovative solutions to help the organization take significant actions fast and efficiently. Contribute to data engineering and data science frameworks, tools, and processes. Implement exceptional data operations and standard methodologies to efficiently use resources. Architect data ingestion, data transformation, data consumption, and data governance frameworks. Help build production-grade ML models and integrate with operational systems. Collaborate extensively with global multi-functional operations teams to onboard customers to use genuine software. Work in a collaborative environment and contribute to the team as well as the organization’s success. What you will need Bachelor’s degree in computer science or equivalent. Preference given to candidates with a graduate degree or equivalent experience. 8+ years of consistent track record as a data engineer. 3+ years of experience with mobile data, App Store Optimization (ASO), and building data pipelines for in-app purchases, paywall impressions, tracking, and app crashes. 5+ years of experience with distributed data technologies such as Hadoop, Hive, Presto, and Spark. 3+ years of experience with cloud-based technologies like Databricks, S3, Azure Blob Storage, AWS EMR, Athena, and Glue. 2+ years of experience with streaming data ingestion and transformation using Kafka, Kinesis, etc. Outstanding SQL experience and ability to write optimized SQLs across platforms. Proven hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas, etc. Experience crafting large-scale distributed data platforms. Experience with CI/CD tools such as GitHub and Jenkins. Working experience with open-source orchestration tools like Apache Airflow or Azkaban. Excellent communication and teamwork skills. Hands-on experience with Elastic Stack (Elastic, Logstash, Kibana) and graph databases (neo4j, Neptune, etc.) is highly desired. Experience with ML algorithms and frameworks like Keras, TensorFlow, PyTorch, XGBoost, Linear Regression, Classification, Random Forest, Clustering, MLflow, etc. Nice to have Showcase your work if you are an open-source contributor. Passion for contributing to the open-source community is highly valued. Experience with data governance tools like Collibra and collaboration tools like JIRA/Confluence. Familiarity with Adobe tools like Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, and Adobe Journey Optimizer is a plus. Experience with LLM models/agentic workflows using Copilot, Claude, LLAMA, Databricks Genie, etc. is highly preferred. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,600 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Skeptic team builds the tools that power Known's media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic's data scientists and engineers are challenged every day to push the limits of advanced advertising. We are seeking a Director of Data Science who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media, including but not limited to Media Mix Modeling, TV viewership predictions, and reach / frequency optimization, is a plus, but not required for the role. In this role you will work with, and guide, other data scientists on a variety of projects and interface directly with our engineering, media strategy, and channel data science teams. As a Director of Data Science, you will drive forward some of our most difficult data science projects and be expected to be a true technical leader, able to build production level products from start to finish. This role will not have direct management responsibilities but you will serve as a mentor for data scientists across the organization. WHAT YOU'LL DO Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known's clients Working with other data scientists and engineers to productionalize new tools Managing the ingestion and cleaning of new datasets relevant to your work / projects Mentoring other data scientists on our team Speaking to clients to understand business needs and communicate back results / solutions WHO YOU ARE AND WHAT YOU HAVE A Masters or PhD from a well-regarded college or university. STEM degrees are preferred. 7+ years of hands-on experience doing quantitative analysis, modeling, optimization and/or statistics. Experience utilizing Python and SQL. 5+ years of experience building data science software Experience in advertising or advertising technology is a plus Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate abstract business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work Experience working on a tech team, with experience in cloud technologies, version control, etc. Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $180K-$200K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

Systems Engineer with Data Science Expertise -TS/SCI with Poly Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: Local The Opportunity: CACI is seeking talented Systems Engineers with Data Science experience to support our client's national defense initiatives in the Fort Meade, Maryland area. This role combines Systems Engineering and Technical Assistance (SETA) expertise with data science skills to advance critical defense objectives. Responsibilities: Manage system requirements and architecture development using frameworks like DoDAF and SOA Develop and allocate system and functional requirements across hardware, software, and personnel components Participate in Integrated Product Teams to design new capabilities Generate system concepts, architectures, and design solutions Create verification plans and processes for systems and subsystems Contribute to system engineering documentation (e.g., System Engineering Plans, Requirements Specifications) Define and manage interfaces between system components throughout the lifecycle Derive lower-level requirements from high-level stakeholder needs Develop requirements for Information Assurance Services and Security Mechanisms Qualifications: Required: BS or MS in Computer Science, Data Science, Statistics, Mathematics, or related field Current TS/SCI with Poly 7+ years of relevant experience (12+ years if no degree) Strong background in systems engineering for complex systems of systems Expertise in data science, including NLP and machine learning Experience with data extraction from unstructured sources (e.g., PDFs, CONOPS) Proficiency in Python, R, and ML frameworks (e.g., TensorFlow, PyTorch) Familiarity with data processing tools like Apache Tika and PDFMiner Desired: Qualitative analysis and data visualization expertise Experience with DoD projects and methodologies Strong communication and collaboration skills ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $94,400 - $198,200 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Scale works with the industry's leading AI model labs to provide high quality data and accelerate progress in GenAI research. We are dedicated to advancing the science of data for generative AI. We develop innovative techniques for hybrid data generation and data quality assessment, ensuring high-quality and diverse datasets to drive the next generation of AI capabilities. We are looking for Research Scientists and Research Engineers to advance science of data and tackle challenges in data generation, quality assessment, and data selection for large-scale AI models. In this role, you will research and develop methodologies for synthetic and hybrid data generation, data quality and diversity analysis, and annotator behavior modeling. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Develop and refine synthetic and hybrid (with human-in-the-loop) data generation methods to enhance model training. Design and implement data quality frameworks, including data diversity analysis, data selection strategies, and detection of reward hacking. Collaborate with internal teams and external partners to establish best practices for high-quality AI datasets. Publish research findings in top-tier AI conferences and contribute to open-source data quality initiatives. Ideally you'd have: Ph.D., Master's degree/or equivalent experience in Computer Science, Machine Learning, AI, or a related field. Strong background in deep learning, LLM, and data-centric AI methodologies. Experience in synthetic data generation, data selection, reward hacking detection, human-in-the-loop data orc, and annotator behavior research. Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $220,000-$325,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Insights, Analytics & Open Research Team (IAOR) is a quant-first intelligence engine whose insights directly support strategic decisions, resource allocation, and amplify the impact and usability of CZI-supported research. Working across all Biohubs and Grand Challenges, the team builds data-driven tools and systems for evaluating CZ Science's progress and impact, conducts ecosystem and behavioral research, and facilitates the implementation of open science practices to increase usability and collaboration. The Opportunity As the Senior Staff Data Scientist - Lead, you'll shape the Data Science function for IAOR, driving data strategy and implementation to monitor progress, assess scientific impact, and track the competitive landscape of CZI's work in science. Leading a small team, you'll build org-wide analytics systems that inform strategic and tactical decisions. This role blends team leadership with the opportunity for hands-on IC impact and requires a strong leader and do-er. Your Impact You and your team will collaborate with Business Partners, Research Scientists, and cross-functional colleagues to co-create how CZI Science defines progress and impact. You'll translate those definitions into measurable, trackable systems, building dashboards and analytics workflows. Your team will work across IAOR to build cohesive and comprehensive systems of intelligence reporting - including developing the infrastructure for a new ecosystem intelligence suite of internal products. Your team will scrape and wrangle unstructured data, build databases and pipelines, develop dynamic dashboards, and perform advanced analytics to generate insights and accelerate the impact of work across all of CZI Science. What You'll Do Own the overall analytics and data strategy for IAOR aligned with business objectives Guide the design of data pipelines and reporting systems for both progress (KPIs) and impact, and the ecosystem intelligence product suite, building new where required and leveraging measurements and infrastructure from other teams, where appropriate Guide the development of novel metrics that are methodologically robust and substantively meaningful to help CZI Science understand our momentum and impact (e.g. relative citation index, relative utility KPIs) Support your team to design and execute analytical deep dives to uncover insights that drive product and marketing decisions Collaborate with IAOR colleagues and cross-functional stakeholders to ensure the outputs of your team meet business needs Hire, manage, and develop more junior data scientists on the IAOR Team Discover and define new data and analytics opportunities aligned with IAOR's core goals, and manage the delivery of those data products What You'll Bring 12+ years of combined experience in complex measurement & analytics, data engineering, and/or business data science in any field (tech / product experience preferred, but not required), including 3+ years experience in people management Demonstrated ability to build data foundations, infrastructure, and systems of reporting used in strategic and tactical decisionmaking from the ground up Strong SQL and Python skills A collaborative mindset and experience working cross-functionally (e.g. with AI, product and engineering teams) Strong foundation in statistics and causal inference Experience hiring and retaining excellent people Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Compensation The Redwood City, CA base pay range for this role is $241,000.00 - $362,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Work Mode As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 10+ years in data science or machine learning roles, including 5+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours We are looking for a Senior Data Science Engineer to join our Casino Reinvestment team, where we focus on understanding and optimizing how players engage with our iGaming products over time. As a Senior Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. This role marks your first promotion from an entry-level position, recognizing your capability to deliver high-quality output and break down moderately sized problems into manageable chunks. What you'll do as a Senior Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to independently structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Position Title: Director of Data Science Business Unit: Marketing Reports to: Chief Marketing Officer P osition Overview: Hands-on leadership position (player/coach) responsible for supporting various internal customers by analyzing complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytical and modeling skills, this role is also proficient at integrating and preparing large, varied datasets and communicating results. Works closely with internal clients and other IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Primary Responsibilities: Set the department strategy and manage a team of Data Scientists focused on marketing, credit, regulatory and risk management: planning department workflow, assigning tasks, training and performance reviews. Develops and applies expertise in areas such as machine learning, optimization, data mining, statistical and mathematical analysis. Performs undirected research and tackles open-ended problems and questions, as well as develops and tests algorithms to aid in analysis of such problems and questions. Conducts statistical analysis and communicates results to relevant parties, authors reports containing actionable recommendations based on employed techniques, educates and trains others regarding quantitative techniques, sampling techniques and analytical methods and evaluates sources of information in order to determine any limitations in terms of reliability or usability. Works in a cross-function capacity to identify opportunities to enhance analytics in key business units throughout the Bank. Participates in the development of the Bank's analytics framework and data culture. Advises internal customers regarding the appropriateness of available quantitative methods to solve business and research problems. Manipulates and analyzes complex data gathered from multiple, structured and unstructured data sources. Identifies specific areas of weakness in data mining and interpretation processes and recommends appropriate methods to improve organizational understanding and analysis. Evaluates and recommends third party statistical software and programs for use within the company as deemed necessary to accommodate the unique needs of end users. Plans and executes data collection methods for specific projects and determines the types and sizes of sample groups to be used. Provide guidance on data sourcing and storage. Provide thought leadership on all things data science including technologies, services and processes. Supports predictive modeling needs, including development, production, maintenance and documentation of results and methodologies. Provides on-going tracking and monitoring of performance of decision systems and statistical models. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: MA or MS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 7 Skills Required to Perform the Primary Responsibilities of this Position: Excellent project management skills Excellent communication skills, both written and verbal Excellent organizational, analytical and interpersonal skills Excellent customer service skills Ability to use a personal computer and job-related software MS Word- Intermediate Level MS Excel- Intermediate Level MS PowerPoint- Intermediate Level Proficient with LaTeX, SAS, R, Python, Scala, Statistical Learning and Machine Learning, relational and non-relational databases and Big Data technologies Expert in statistics and predictive modeling Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

We're looking for experienced leaders to join our data science org who are excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager on our team, you'll work closely with stakeholders as well as leaders, and the broader data science team to deliver strategic insights and build data products that will optimize our go-to-market activity. These positions function more like a tech lead role, where you'll oversee a small team while also remaining actively hands-on. This is a full time role that can be held from one of our US hubs or remotely in the United States. We are seeking an experienced Data Science Manager to join and lead the Sales Data Science Team. In this role, you will be responsible for delivering customer focused insights, building the infrastructure and tooling to scale data access across a rapidly growing sales team, and deploy advanced models to improve our targeting and efficiency. The ideal candidate will have a strong track record of executing analytical projects, creating compelling data stories and visualizations, and communicating across diverse technical and non-technical audiences. What you'll do at Figma: Take a hands-on approach to tackle a subset of problems and provide detailed analysis. Manage, support and grow a diverse team of data scientists who own all aspects of data within the Sales organizations Partner with Sales leadership to set strategy, priorities, and mission for teams and projects Develop and refine more advanced statistical modelling around lead scoring, cross-sell modelling, and uplift modelling. Foster a data driven culture by elevating metrics reporting and understanding Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Establish a vision for the team. We'd love to hear from you if you have: 5+ years of experience collaborating with sales teams, building models and conducting strategic analysis to fuel growth 2+ years of experience managing high output business oriented sales data science teams Proven track record of influencing functions and shipping high-quality data products that support organizational objectives Firm knowledge around statistical methods, including lead scoring, experimentation, and attribution modeling Proficiency in leveraging data and metrics to guide business decisions While not required, it's an added plus if you also have: A desire to build an inclusive and diverse culture Experience scaling teams in high growth environment Read more about our team: https://www.figma.com/blog/cross-functional-data-science-user-research-figma/ https://www.figma.com/blog/how-we-use-data/ https://www.figma.com/blog/from-experiment-to-launch-how-data-shaped-a-new-comments-experience/ At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana’s marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business’s evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences. These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2

About CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role Managers at CookUnity partner with other leaders across the organization to build teams, develop individuals, and bring analytical excellence to help drive the iterative product lifecycle. They're also experts in their areas, using their knowledge and experience to create the space for others to succeed whilst maintaining 70/30 hands-on to contribute directly to our learning and growth. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance, and design & execute experiments to generate learnings and evidence their success. Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning). We're looking for a Manager, Growth Data Science & Analytics, with a focus on growth, eater activation, and resurrection to join our team. As a result of your guidance and strategic direction, you'll help advance our Growth team's capabilities, applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory. What you'll do Lead and mentor a high-performing team of Marketing analysts, fostering their professional development, collaboration, and analytical expertise Conduct in-depth analysis of marketing data from diverse sources, including digital, offline, social media, CRM, and brand, to identify actionable insights and trends Develop and implement sophisticated statistical models and forecasting techniques to evaluate marketing performance, predict outcomes, and optimize marketing investments Collaborate closely with Marketing partners on leveraging advanced analytics solutions, including MMM, MTA, and LTV optimization, ensuring data-driven decision-making across marketing initiatives Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Core Competencies Experience developing and working with marketing measurement solutions, including MMM and MTA models, causal inference, forecasting, LTV, churn, and segmentation Experience across Brand and Performance Marketing measurement High autonomy in partnering with non-technical stakeholders with strong communication skills at various levels High autonomy in executing to produce insights using data with expert proficiency in SQL, Python/R, and Tableau/Looker High agency and growth mindset Year of experience 5+ years of experience in Marketing Analytics managing complex analytics projects At least 2 years managing teams of analysts and data scientists At least 2 years in a growth team (in any capacity) Benefits Health Insurance coverage 401k Plan We grow, you grow: Stock Options Plan granted on Day 1 Eligible for a bi-annual performance bonus Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $190,000-$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.