Lead team of data scientists and analysts, provide guidance, mentorship, and career development. Collaborate with stakeholders to define vision, strategy, and roadmap for product data science. Oversee design, development, and evaluation of data science solutions.

Extract insights from high volume, high dimensional data. Develop ETL/ELT data pipelines, BI models, and dashboards on public cloud platforms. Train architects on modern big data and cloud-native technologies.

Lead projects to develop custom analytics solutions using statistical and data science methods. Provide leadership, coordination, and mentorship to data science team. Responsible for business development activities and client communication.

Lead a team of Data Scientists to accelerate the delivery of value to members and clients by leveraging data, technology, and AI. Establish vision and strategy, partner with cross-functional teams, and deliver impactful data-driven products.

Apply advanced analytics techniques to solve business problems, ensure high-quality analytics, lead team in best practices within data science lifecycle, maximize resources, partner with stakeholders for predictive modeling and analytics implementation.

Lead a team of data scientists to achieve goals, drive analytics projects with partners, prioritize longer-term goals, and create statistical frameworks to analyze product performance. Bachelor's degree and 5+ years of experience in quantitative analytical roles required.

Create data analysis pipeline, evaluate new data sources, transform raw data into insights, present complex analyses, teach data science concepts. Requires quantitative degree, analytical skills, experience with large-scale data analytics tools. Benefits: 100% medical coverage, professional development opportunities.

Develop marketing strategy, messaging, and collateral for data science and developer tools. Drive adoption of Databricks tools through go-to-market plan, partnerships, and impactful announcements. Build trust with audience through recognizable references.

Lead and manage a team of data scientists and analysts to develop statistical best practices, methodology, and innovative solutions for modeling and experimental design. Develop training and professional development programs for the team.

Drive development of forecasting systems, collaborate with cross-functional partners, own team development cycles, deliver and support production code driving business critical decision making systems.

Lead and manage a team of data scientists to develop and execute generative AI strategy. Collaborate with cross-functional teams to integrate generative AI into products and services. Stay updated on advancements in generative models and guide the team in applying them.

Lead and mentor a team of data scientists and engineers to develop and maintain data infrastructure, predictive models, and statistical analyses. Improve analysis quality and identify high-impact opportunities.

Lead and grow a team of Data Engineers, Data Scientists, BI Developers, and Analysts. Develop and execute the vision and strategy for the Data team. Build foundational datasets, promote self-service analytics, and drive predictive and prescriptive analytics.

Assist learners in Data Science by providing technical support, proactive academic assistance, and personalized feedback. Collaborate with other teams to enhance the overall learner experience and maintain knowledge base articles.

Analyze clinical data and collaborate with cross-functional teams to support data-driven clinical program design, monitoring, and evaluation. Create reports and visualizations to share insights with stakeholders. Identify opportunities to improve medical expense trend and quality of care.

Lead and manage a team of data scientists and managers to drive growth and achieve business outcomes. Use data insights to answer important business questions and communicate findings to stakeholders. Foster an inclusive culture and build highly talented teams.

Perform billable work for clients, provide leadership by driving engagement results, manage client relationships, oversee development of client deliverables and solutions, participate in sales and business development activities.

Lead management science and statistical modeling projects, identify business challenges and opportunities, develop predictive and prescriptive models, drive departmental projects, communicate findings to operations leadership, and oversee a team of data scientist consultants.

Create data pipelines and connect new data sources for internal and external clients. Conceptualize, prototype, and build new data products. Apply data science techniques, communicate results, and provide technical support.

Manage the production of white papers and analytics reports. Coordinate dissemination of analyses. Supervise Data Scientists. Conduct statistical analyses using R/Python. Collaborate with data reporting and engineering teams.

Create high-quality course content and provide top-tier instruction in Python, R, or SQL. Collaborate with curriculum experts and content team to develop a best-in-class data course. Dedicate 10-15 hours per week over 12-16 weeks.

Lead a team of data scientists and analysts to measure, test, and optimize marketing performance. Develop and execute comprehensive marketing plans, oversee advertising and promotion activities, and provide data-driven strategies to influence spend allocation.

Lead and execute a comprehensive data science strategy, manage a team of data scientists, provide technical leadership, design data science models for product components, work across the business to embed data science, and set strategic direction for the organization.

Build and improve Customer Progression models using data science techniques and statistics. Collaborate with cross-functional teams to create new data-powered products and infrastructure. Manage team projects and communicate with all levels of the organization.

Manage a team of data scientists to build data models, apply statistical techniques and machine learning to inform product decisions. Partner with investing product team to drive the strategic vision and set organizational standards.

Manage a team of data scientists, machine learning engineers, and software engineers to build AI-powered applications. Provide technical guidance, foster continuous learning and innovation, and collaborate with stakeholders to deliver AI-enabled software solutions.

Lead the delivery of data science frameworks, conduct data analysis and exploration, liaise with other developers, and provide expert guidance on data quality activities. Mentor team members and present complex analysis to stakeholders.

Identify opportunities for data science applications, translate objectives into technical deliverables, drive product adoption, optimize business applications, and contribute to business decisions using data analysis and technical expertise.

Manage a team of data professionals, set strategic direction for data analytics, collaborate with cross-functional teams, promote data literacy, and drive innovation in AI and data science to enhance social impact and inform decision-making.

Lead the Credit Passport team in leveraging and integrating global credit data, improving and maintaining bureau integrations, contributing to long-term data strategy, supporting business development, and managing a team of Data Scientists and Data Analysts.

Conduct independent validation for all models, maintain policy and standards for model risk management, update model inventory, and assist in mitigating emerging risks as part of the second line of defense risk management team.

Lead software development, adhere to agile best practices, implement unit tests, mentor engineers, collaborate on new feature design and launch. Required: 5+ years software engineering experience, English proficiency, data science skills. Nice to have: cloud-based environment experience.

Partner with Fincrime leaders to develop data-driven solutions for Financial Crime. Lead a team, set data strategy, and manage complex systems to combat fraud. Prioritize impactful initiatives and manage stakeholder relationships.

Lead the creation and maintenance of assessments and certifications for Data Scientists and Data Engineers. Manage item writers and graders, ensure quality standards are met, and use data to drive improvements.

Conduct research to develop methodologies for measuring doctor quality and efficiency. Design and implement models to validate provider information. Collaborate with cross-functional teams to improve ranking and directory ecosystems.

Use SurveyMonkey's data to analyze user behavior and inform product recommendations. Build models for product experiments and optimize virality. Collaborate with cross-functional teams and uncover customer insights.

Teach college level courses in computer science or data science, offer flexibility in course scheduling and methods of course delivery, communicate effectively with a diverse student population, and have a Master's degree or higher in computer science or data science.

AI Data Trainer responsible for writing and proofreading code and natural language to train models, improving machine-written and human-written code, and following style guide for exceptional quality. Must have industry experience in data science, Python, and data analysis.

Lead the Data Science Practice area, managing staff, advising on projects, and developing a business development pipeline. Spearhead leadership in AI and ML, leveraging expertise in science and statistics.

Lead and build a generative AI practice, manage stakeholders, develop new use cases, and attract and train talent. Deploy models into production and manage a team of data scientists. Stay up-to-date with industry trends and regulations.

Lead a team of data scientists and engineers to design data science programs, machine learning models, and architecture. Build high-performance teams, support data-informed decision-making, and develop an investment strategy to grow an exemplary data science organization.

Help grow and lead a Data Science function. Develop and execute a strategic roadmap for integrating AI and machine learning into healthcare solutions. Stay at the forefront of AI research and technology trends.

Deliver high-quality data science frameworks for fast decision making and strategic design. Conduct data analysis and statistical analysis to improve performance across all departments. Provide expert advice on data quality and drive innovation through experimentation.

Identify opportunities, establish strategy, manage projects, drive product adoption, optimize business applications, increase product stickiness, communicate effectively with stakeholders, and have a strong technical and data foundation.

Lead a team of model developers to create and optimize marketing, credit, and custom score models. Foster collaboration with cross-functional teams and provide guidance and project management to the Data Science team.

Lead and manage Data Science, Financial Modeling, and Dashboard Design. Develop and integrate new value-adding analytics, present results to stakeholders, and improve reporting packages. Bachelor's degree and 5 years of experience required.

Develop predictive solutions using statistical techniques, generate analytical insights, collaborate with technology teams to implement solutions, and serve as a subject matter expert on machine learning techniques.

Consult on all levels of the analytics lifecycle. Demonstrate strong business acumen and excellent communication skills. Engage stakeholders in other functional areas for cross-pollination opportunities.

Conduct research in data science, develop prototypes, work on self-directed projects, prepare technical reports and proposals. Ideal candidate has a degree in STEM, programming proficiency, and experience in deep learning frameworks.