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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)

Data Science and Data Visualization Subject Matter Expert (SME) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Type of Travel: None * * * Job Description: We are seeking a skilled and motivated Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data in a clear and compelling manner. Responsibilities: • Work with cross-functional teams to identify, research, and solve complex analytical problems • Analyze large data sets to extract meaningful insights • Design, build, and maintain machine learning models and algorithms • Collaborate with data engineers to improve data collection and storage • Present findings and recommendations to stakeholders in a clear and actionable manner • Support the organization's broad-spectrum Data Management requirements including, but not limited to: Data Strategy/ Modeling/ Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance. Required Qualifications: • Active TS/SCI Clearance with Polygraph • 5+ years experience as a Data Scientist, Data Analyst, or similar role • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field. (e.g., Statistics, Mathematics, Computer Science, etc.). • Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization • Knowledge of statistical analysis methodologies and data visualization tools. • Excellent problem-solving skills and attention to detail. • Excellent communication and collaboration skills • Ability to work independently and manage multiple projects simultaneously • Strong problem-solving skills and attention to detail Desired Qualifications: • Tableau Certified Professional - Preferred • Current Security+ or DOD 8570 IAT Level II Certification • Experience with scripting in Tableau (e.g., automation; troubleshooting; integration, performance optimization) • Proficiency in Python, R, SQL, and other relevant programming languages. • Experience with machine learning, predictive modeling, and data mining This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ________________________________________________________________________________________ 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 . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $68,400-$143,700 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.

At LabCorp, we provide real-world experience by working on assignments in a team atmosphere which furthers an education in STEM and Healthcare disciplines. Our interns have the opportunity to showcase their work by demonstrating their achievements to their supervisors, their mentors, and our senior management team. Each intern will participate in group projects that illustrate their creativity and build on their technical teamwork skills. Internship Program: Exciting opportunity to be part of the Labcorp 2024 Internship Program as a Data Scientist Intern! Internship Assignment Summary: Your Summer at a Glance May – Take Off ○ Program Kick-Off and the Start of the Summer! June – Teamwork and Discovery Work with your assigned team and fellow Interns on projects while also attending workshops, panels, and tours July – Networking and Public Speaking Present to Senior Leadership, work with team members on innovative new projects, and expand your career network August – Takeaways ○ Provide insight for your future career, and create lasting career networks Education/Qualifications/Skills: • Working towards bachelor’s degree in computer science, data science, Informatics • Has experience delivering multiple projects in an academic or professional setting • Ability to collaborate with various stakeholders and internal/external colleagues Completed coursework in machine learning, data mining, and statistical analysis, applying learned concepts in real-world scenarios • Experience in programming languages including Python, R, and SQL for data manipulation and analysis Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility . For more information about how we collect and store your personal data, please see our Privacy Statement .

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

At LabCorp, we provide real-world experience by working on assignments in a team atmosphere which furthers an education in STEM and Healthcare disciplines. Our interns have the opportunity to showcase their work by demonstrating their achievements to their supervisors, their mentors, and our senior management team. Each intern will participate in group projects that illustrate their creativity and build on their technical teamwork skills. Internship Program: Exciting opportunity to be part of the Labcorp 2024 Internship Program as a Data Scientist Intern! Internship Assignment Summary: Your Summer at a Glance May- Take Off ○ Program Kick-Off and the Start of the Summer! June- Teamwork and Discovery Work with your assigned team and fellow Interns on projects while also attending workshops, panels, and tours July- Networking and Public Speaking Present to Senior Leadership, work with team members on innovative new projects, and expand your career network August- Takeaways ○ Provide insight for your future career, and create lasting career networks Education/Qualifications/Skills: Working towards bachelor's degree in computer science, data science, Informatics Has experience delivering multiple projects in an academic or professional setting Ability to collaborate with various stakeholders and internal/external colleagues Completed coursework in machine learning, data mining, and statistical analysis, applying learned concepts in real-world scenarios Experience in programming languages including Python, R, and SQL for data manipulation and analysis Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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)

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire an Associate Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. As an Associate, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on. We are looking for 1+ years of hands-on data science / advanced analytics experience or a masters degree in related fields. This is a hybrid position located in our South Charlotte or NYC office. What You'll Do Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who You Are Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders. What We're Looking For Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Compensation Cash Compensation Range: *$95,000-120,000  *Note actual salary is based on geographic location, qualifications, and experience.  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

About the Hiring Team Level Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails Responsibilities: Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics. Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value. Deliver actionable business insights to internal and external stakeholders. Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications. Engage in technical knowledge sharing, documentation, and cross-team collaboration. Who We Look For Pursuing a M.S., or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc. Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.). Experience with building complex data products and machine learning systems on large datasets preferred. Proficient in Python and SQL. Excellent communication, collaboration, execution capabilities, and keen business acumen. Passionate about games and the gaming industry. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. At Proscia, we are accelerating pathology's transition from microscope to images-and using AI to change how we diagnose and understand diseases like cancer. We push the limits of medicine and technology, solving problems the world has never solved before. Our software is used by thousands of scientists and pathologists working on the front lines of fighting cancer and other diseases. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About This Internship We are seeking a highly motivated AI & Data Science Intern to contribute to our AI-driven digital pathology initiatives. This internship provides an opportunity to work with large-scale biomedical datasets and deep learning models to extract meaningful insights from Whole Slide Images (WSIs). You will collaborate with our AI R&D and Data Engineering teams to integrate foundational embeddings into our data pipeline, enhancing the value of real-world data in pathology. What You'll Do At a fast-moving startup like Proscia, you'll have the chance to wear many hats, but your key responsibilities will include: Developing a functional prototype leveraging foundation model embeddings to extract biologically relevant features from WSIs. Designing and implementing scalable data processing pipelines, including feature extraction, quantification, and visualization. Analyzing extracted features to improve searchability, classification, and dataset insights in pathology AI applications. Collaborating with cross-functional teams to integrate models and datasets into existing workflows. Documenting findings, methodologies, and results to contribute to team knowledge sharing. What We're Seeking We're looking for people who are smart, nice, and get stuff done. Proscia is a high-growth company, and we value entrepreneurial thinkers who thrive in fast-paced environments. Our next AI & Data Science Intern will have: Current enrollment in or recent graduation from a Computer Science, Biomedical Engineering, Medical Data Science, or related program. Strong Python programming skills and experience with deep learning frameworks like PyTorch or TensorFlow. Familiarity with foundation models and their applications in AI and data science. Experience with data processing techniques, including cleaning, normalization, and feature engineering. Proficiency in data visualization tools to communicate insights effectively. A problem-solving mindset and the ability to work both independently and collaboratively. Beyond Just Work At Proscia, we believe in creating an environment that supports growth, creativity, and well-being. As an intern, you'll benefit from: Hands-on experience with cutting-edge AI applications in digital pathology and biomedical research. Exposure to large-scale, real-world biomedical datasets, contributing to industry-leading AI research. Mentorship from experienced data scientists, engineers, and AI researchers. The opportunity to make a tangible impact in precision medicine and drug development. Being a Proscian means believing in a mission, overcoming challenges in the journey together, and sharing the resultant success. We believe that every mega growth period creates an exceptional career runway. We are here to change the world together and empower each other to become our best self in the process. As a company in the healthcare field, we want our people to be happy and healthy, in and out of the office. In addition to competitive pay, we ensure everyone on our team is supported with savings, schedule, a vibrant physical-office environment (for those in Philadelphia) and insurance options that promote long-term health and personal growth. At Proscia, we do not just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Proscia is proud to be an equal opportunity workplace.

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Cincinnati, OH Hybrid Schedule: 3 days in office / 2 days at home weekly Job Summary: The Data Science Manager will lead a team of data scientists and machine learning engineers in delivering data-driven insights to support business decision-making. This role requires a combination of leadership, technical expertise, and strategic thinking to leverage advanced analytics tools and techniques, driving innovation and optimizing business outcomes. This is a hands-on role, and the willingness and ability to jump in and support the work is part of the job. What You'll Do Strategic Leadershi: Develop and implement the advanced analytics strategy to support organizational goals and strategic initiatives Partner with cross-functional teams (e.g., Sales, Pricing, Customer Experience, Finance, etc.) to identify analytics opportunities and translate business needs into actionable projects. Stay informed of emerging analytics trends, tools, and technologies to keep the organization at the forefront of innovation Team Leadership: Lead, mentor, and manage a team of data scientists and machine learning engineers, fostering a culture of continuous learning, innovation, and improvement Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines Support team members in developing their technical and professional skills Technical Expertise: Ensure the implementation of best practices in data science, including data cleaning, feature engineering, and model evaluation with a focus on creating scalable, automated solutions Oversee design, deployment and management of analytics platforms (i.e. Snowflake, HEX, Looker) Guide the team in using analytics tools such as Python and SQL, and visualization tools like Looker Manage and balance workload across the team members and support projects as needed Business Impact: Communicate complex analytical concepts and results to non-technical stakeholders in a clear and actionable manner Drive measurable business impact by identifying and implementing analytics solutions that enhance decision-making and efficiency Establish and track objectives and key results (OKRs) to evaluate the effectiveness of data science initiatives What We Need Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field 5+ years of experience in advanced analytics, data science roles 2+ years managing a team Proficiency in programming languages such as Python, R, or SAS Strong knowledge of statistical analysis, machine learning, and data visualization techniques Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure) Expertise with database systems and SQL for querying large datasets Desired Qualifications Master's or Ph.D. Degree Preferred What You'll Need to Succeed Proven ability to lead and inspire teams in a fast-paced environment. Strong project management skills, with a track record of delivering complex projects on time and within scope Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels Strong ability to translate complex analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners #LI-ED1 #LI-Hybrid About PatientPoint: PatientPoint is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation's largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year. Latest News & Innovations: Named A Best Place to Work Across Multiple Prestigious Platforms! Read More Featured on Built In's article "Companies That Pay Well". Read More Now Culture Content Certified by VentureFizz. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Science Intern (Summer 2025) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. An internship is a temporary position within Solventum. Interns typically work a full-time schedule throughout a 10-12 week assignment during summer of 2025. This position is limited to working 899 hours per service credit year. Applications on this requisition are reviewed and filled on a rolling basis; it is in a candidate's best interest to apply as soon as possible. Interested candidates should include a resume as part of their application. The Impact You'll Make in this Role As a Data Science Intern, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Leveraging expertise to develop and contribute to data visualization and data science efforts in support of new product development and sustaining innovation for physical products in the healthcare arena Building and deploying machine learning models to accelerate R&D and related business decision making Integrating machine learning into simulation-based models from a variety of scientific and engineering disciplines Collaborating with R&D teams in central research and in business labs to build capabilities and applications to solve emerging challenges in healthcare Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Currently pursuing a doctoral degree from an accredited institution in a physical science, biological science, or engineering discipline with a focus on data science or machine learning. Additional qualifications that could help you succeed even further in this role include: Experience scripting (R, Python, Golang, shell) Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns Experience with application of data science methodologies to healthcare related applications Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available Leadership qualities such as excellent communication skills (oral, written and presentation), networking skills, self-motivation, and self-direction. Work location: Hybrid: Location Maplewood, MN 2-3 days/weeks Relocation: not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Applicable to US Applicants Only: The expected compensation range for this position is $44.00 - $46.00 per hour, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.)after 90 days employment. Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards Applicable to US Applicants Only:The expected compensation range for this position is - , which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Summary Data Science Senior Managers in GEICO's Pricing Department lead complex data analyses and development of pricing, econometric, statistical, and machine learning models to drive business decisions, identify actionable insights, and create specific business value through shared insights and analytic solutions. In this role, Senior Managers apply actuarial and analytics skills to forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO's rating plans. Job Responsibilities Leads collaborations with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives, formulate strategies, design rating plan structural enhancements, and develop solutions to achieve business goals through effective use of data and pricing and machine learning models. Builds and manages a strong, agile team of technical analysts and data scientists and trains them in accessing and interpreting data, analytical methods, and business relevance. Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved. Interprets and communicates data findings and insights using visualization, formal presentations, written memos, and other appropriate formats. Develops and implements documentation, project management, coding, and development best practices within a team. Identifies appropriate actuarial, statistical, and machine learning methods for a collection of projects. Manages the identification, extraction, aggregation, and synthesizes of data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment. Manages the application of actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Manages the discovery, analysis, evaluation, and adoption of new data, new uses for existing data, or new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions. Manages the building, testing, and validation of pricing, econometric, statistical, and machine learning models and analyses as part of overall solution development. Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Candidate qualifications and skills 6+ years' industry experience in data science and insurance pricing/ratemaking roles, with a deep understanding of both. 3+ years leading a team of quantitative analysts or data scientists. Actuarial ACAS/FCAS, advanced degree in a quantitative discipline, or 4+ years' insurance industry experience in a leadership position. Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders Demonstrated experience in developing & executing a team development roadmap, influencing business decisions, and driving business value Working experience with predictive modeling, machine learning, experimental design, AB testing, and analytical modeling and data engineering tools such as R, Python, SQL, and Spark. Annual Salary $120,000-$240,000 Location This is a hybrid role, on-site 3 days per week from Chicago, IL, Chevy Chase, MD, or New York, NY. Annual Salary $0.00 - $0.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you'll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Assistance Paid Training and Licensures Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance. If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics! At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our ‘MMO’ offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact. 📊Key figures about Ekimetrics · 400+ data science experts globally · 1000+ diverse projects & 350+ clients · 4 offices: Paris, Hong Kong, London and NY · UK data company of the year 2023 · Voted Great Place to Work 2023 · Microsoft’s sustainability partner · Voted as a leader in “Marketing Measurement & Optimization” by Forrester wave 2023 About the Role This role is perfect for recent graduates with previous internships under their belt or people early on in their career journey. As a Junior Consultant you will work with international blue-chip clients across diverse industries. As both a data scientist and consultant, you will use and develop advanced data analytics and consulting skills on your projects. From day one, you will join a team of three to six consultants and collaborate on one to two projects simultaneously. You will have a hand in projects from discovery meetings to final recommendation; responsibilities include gathering and analyzing data, building statistical models, translating quantitative insights into strategic recommendations, and delivering the final results. The projects will push you to create innovative approaches as an owner and you’ll present your results directly to C-suite clients and business executives. Our close-knit team will guide your growth to build expertise on best-practice methodologies and industry knowledge, working directly with Ekimetrics partners. Each member of our team takes a vested interest in the development of your technical skills and business acumen. Our team members continuously learn and grow through 70+ proprietary training sessions and collaboration with colleagues as coaches and mentors. Finally, the opportunity to work for a growing, international pioneer in data science, will empower you to have an immediate impact by contributing to our passionate team. Responsibilities: 1. Data Analysis and Model Construction - Utilize advanced statistical techniques and best data practices to help the team progress through project work - Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses 2. Strategic Partnerships with Clients - Liaise daily with clients to develop a deep understanding of their business context and experience - Deliver findings and battle plans with excellence and confidence - Provide ad-hoc analyses that further develop projects and client relationships by parameterizing the business questions 3. Ekimetrics Life - Support our fast growth by contributing to local and global initiatives such as Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques for the office, etc. Qualifications: We are looking for a talented, dual-profile consultant. Data Skills - Bachelor’s or Master’s degree (or equivalent) in Business Analytics, Statistics, Economics, Engineering or other related field, or a data science bootcamp. - Outstanding record of academic achievement. - 0-2 years of experience in Data Analysis / Modeling / Advanced Analytics - Passion for data, statistics or applied mathematics - Familiarity with modeling / optimization techniques - Completed projects using advanced analytical methodologies and/or statistics to answer business questions - Experience with statistical software such as Python (preferred) or R. Consulting Skills - Consulting experience or interest in working as a consultant - Strong interest in marketing & business issues - Exceptional written and oral communication skills - Ability to work collaboratively in a team setting - Self-driven and motivated to thrive in a fast-paced environment - Continuously striving for high performance - Spanish-speaking is a plus What we offer: At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure. - An emphasis on work-life-balance and 20 PTO days per year and holidays - Dynamic environment with a strong culture and great offices - Close-knit team with friendly environment, bi-monthly team events and more - Creative and entrepreneurial start-up environment with vertical and lateral mobility - Best-in-class methodologies and cutting-edge technologies - Unique internal training package with 70+ sessions in our Eki.Academy digital platform - Growth to develop a double profile in data science and strategic consulting - Client exposure up to the executive level - Opportunities for international mobility across our three other offices in Paris, London, and Hong Kong Position Type: Permanent Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. Please note that we do not offer visa sponsorship or transfer for this hire.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce. We are seeking a dynamic and experienced Data Science Growth Leader to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers. Key Responsibilities Business Development & Growth: Identify and pursue new business opportunities in the AI & ML space. Develop and execute strategies to expand our client base and market presence. Build and maintain strong relationships with key stakeholders and clients. Collaborate with sales and marketing teams to create compelling value propositions and proposals. Technical Leadership: Lead the design, development, and deployment of enterprise-level data science solutions. Ensure solutions are scalable, robust, and aligned with business objectives. Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings. Mentor and guide a team of data scientists and engineers to achieve project goals. Strategic Planning: Develop and implement a strategic roadmap for data science initiatives. Align data science projects with overall business strategy and client needs. Drive innovation and continuous improvement in data science methodologies and practices. Client Engagement: Work closely with clients to understand their business challenges and requirements. Translate client needs into actionable data science solutions. Present findings, insights, and recommendations to clients in a clear and compelling manner.

About Us: Culture’s mission is to simplify and accelerate bioprocess development to enable our customers to bring their biopharmaceutical products to market faster. With a focus on upstream cell culture process development, Culture has developed a unique platform that merges products, services and data management that can be applied to mammalian, microbial and viral vector production processes. This platform enables high-throughput process development projects to be rapidly and seamlessly executed directly by our customers in their own facilities, in our service laboratories, or both, all driven by our cloud-connected web application, accessible from anywhere, for designing, managing and analyzing experiments. At Culture, we combine our passions for biomanufacturing, engineering, and operations to build new solutions that make bioprocess development faster. We value curiosity, communication, collaboration, a customer focused mindset and a drive for results. The Opportunity:  We are seeking a Digital Product Leader, Data Science to lead the definition, development, and go-to-market strategy for our digital transformation and data science products within the bioprocessing domain. This is a strategic leadership role where you will be responsible for shaping our data science strategy and delivering impactful data-driven solutions.  What you'll do: Positioning data science as a core driver of business growth and innovation by developing and executing a comprehensive data science strategy aligned with the company's overall business objectives. Standing up ML/data science & customer analytics capabilities; meeting biopharma customer needs, steer the direction of technology advancement & AI/ML tooling decisions within the company itself Identifying opportunities to leverage data science and Al to address critical challenges in bioprocessing, such as process optimization, quality control, and predictive analysis. Translating market insights and customer feedback into well-defined product requirements and roadmaps. Collaborating closely with data scientists, engineers, and bioprocessing domain experts to ensure successful development and deployment of data products. Collaborating with marketing and sales teams and communicate the value proposition of our data product offerings to potential customers. About you: 6+ years of experience as a technology lead or product lead, with a strong focus on datascience, Al/ML, or analytics products.  Biopharma experience, a must Data architecture & cloud experience, AWS ideally - Multi cloud experience is a olus, especially GCP Ability to work with customer teams, both technical and non-technical Proactive problem solver excited about the opportunity to build something from the ground up Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. A Master's degree in a relevant field such as Bioinformatics, Bioengineering, Computer Science, Data Science, or a related field. Advanced degree (PhD) in a relevant field is a plus. Location & Schedule:  This is a hybrid position. We’re looking for someone based in the San Francisco Bay Area who is able to work in person at our office in South San Francisco at least 2-3 days per week.  Base Salary Range : Culture Biosciences's compensation package includes market competitive salary, equity for all full time roles, and great benefits. Our expected salary range for this role is $250,000 - $275,000 . Final offer may vary within the range provided based on experience, expertise, and other factors. Benefits: Competitive salary and equity compensation Medical, Dental, Vision, and Life insurance Medical and Dependent Care FSA (prorated based on start-date) 401(k) plan with company match Responsible Time Off (non-accrual based) policy, 10 paid company holidays and a week-long winter break 12 weeks of parental leave at full salary For onsite employees: Commuter benefits Access to on-site child care facility, subject to availability Free onsite breakfast, lunch, snacks, coffee, and gym Culture Biosciences provides equal employment opportunities to all employees and applicants. We seek to build a company that promotes inclusion and expands the diversity of our industry as a whole. We encourage people with identities underrepresented in biotech and technology to apply.

About the Team At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. About the Role We are looking for an experienced Algorithms Team Manager to lead a group of talented machine learning engineers, and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms that empower our human stylists to delight clients by nailing their fit and style. You're excited about this opportunity because you will… Directly shape product strategy: Leverage data-driven insights to influence Stitch Fix's broader business and enhance the client experience. Drive measurable business impact: Utilize data science to improve client engagement, personalization, and overall growth. Lead a team building transformative capabilities at the heart of our company's value proposition. Drive the development and optimization of style recommendation algorithms, ensuring they provide personalized, relevant, and engaging fashion recommendations. Collaborate with product managers, data scientists, UX/UI designers, and business leaders to define key performance metrics and product goals. Oversee the end-to-end algorithm development lifecycle-from ideation and experimentation to testing and deployment. Manage the prioritization and execution of key algorithmic projects while balancing business needs, technical feasibility, and timelines. Implement best practices for team collaboration, code quality, and data management. Stay up-to-date with the latest trends and advancements in AI, machine learning, and fashion technology. Provide continuous feedback and foster a growth-oriented culture within the team. Establish a clear vision and roadmap for the development of styling algorithms and continuously drive improvements based on data-driven insights. We're excited about you because… Excel at building trust with your team, stakeholders, and technical partners Have excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences, And know how to achieve alignment without resorting to micromanagement. Have a strong background in machine learning, data science, and algorithm design, preferably in areas related to fashion, recommendations, or personalization (5+ years of experience, with at least 2 years in a leadership/management role). Have experience with A/B testing, experimentation frameworks, and performance metrics. Are familiar with cloud-based infrastructure and distributed systems. Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives- all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits.