Top Data & Analytics Jobs

The Senior Data Scientist will model complex enterprise problems using machine learning and statistical techniques to discover insights, focused on inventory and assortment optimization. Responsibilities include developing predictive models, mentoring team members, and collaborating with cross-functional teams to implement data-driven solutions.

The Graduate Data Scientist I role involves designing, researching, building, and delivering data-focused products. Responsibilities include developing ML and deep learning forecasting models, analyzing data signals, collaborating with engineers and product managers, and conducting experiments for optimizing advertising spend.

As a Data Scientist, you will develop decision systems and predictive models to drive business improvements at Progressive Leasing. Your role includes data exploration, machine learning, and optimization of business processes based on analytics. You will work with a team to innovate and enhance analytical tools, ensuring continued success in the FinTech industry.

The Data Scientist role involves collaborating with founders and executives to create custom software and machine learning solutions. Responsibilities include applying data science methods, statistics, NLP, calling machine learning APIs, and engaging in research into AI alignment. Candidates should demonstrate problem-solving and self-management skills.

As a Senior Data Engineer for the Collision Avoidance System, you will design data pipelines, develop ETL processes, maintain data quality, implement data models, and build dashboards, collaborating with various teams to enhance data availability for machine learning and ensure compliance with privacy policies.

As a Senior Data Scientist on the Pricing team at Lyft, you'll create mathematical frameworks that influence pricing strategies, collaborate with cross-functional teams, implement algorithms in production, and drive data-driven decisions to optimize user experience and profitability.

The Senior Data Scientist will manage and lead data science projects to improve healthcare outcomes, utilizing machine learning techniques to develop sophisticated predictive models. Responsibilities include collaborating with teams, ensuring project alignment with organizational goals, translating complex data into actionable insights, and mentoring junior data scientists.

As a Data Scientist III, you will work on Socure's Consortium Intelligence products by applying AI and machine learning to tackle fraud prevention and identity verification. Responsibilities include managing data pipelines, developing algorithms, and analyzing large datasets to uncover fraud patterns, while collaborating with engineering and product teams.

The Tennis Data Scientist will develop and enhance machine learning and statistical models for sports betting products. They will work through all model development phases, improve model performance, analyze results, and document their work for stakeholders. The role emphasizes collaboration with engineering and product teams to deploy new models effectively.

The Data Scientist II will focus on developing and optimizing predictive models using machine learning and statistical analysis of data, particularly 3D data. They will prepare and sample data using software and cloud resources, and employ data visualization tools to support business strategies.

The Senior Economist / Applied Scientist is responsible for building models, collaborating with engineers to integrate customer data, and leading the research and development of econometric models. Key responsibilities include driving experimentation methodologies, providing scientific leadership, and mentoring a team of scientists to enhance the GeoLift model and deliver significant business impact.

As a Senior Data Scientist on the Pricing team at Lyft, you will tackle mathematical problems, collaborate with cross-functional teams, design experiments, and implement algorithms in production to enhance pricing strategies. You will also analyze data to inform business decisions and provide mentorship to teammates.

As a Sr. Data Scientist II, you will design, develop, and optimize AI/ML models and solutions for the DoD Search Portfolio products, collaborate with cross-functional teams, manage the lifecycle of AI components, and apply analytical methodologies to tackle data challenges.

As an Applied Data Scientist, you will develop data processing strategies, extract and format data, conduct exploratory analyses, and create interactive scientific applications using R shiny. You will collaborate with scientific teams and contribute to advanced research to enhance biomedical decision-making.

As a Principal Data Scientist, you'll lead cross-functional teams to innovate AspenTech's Digital Grid Management solutions. This role involves developing machine learning algorithms, collaborating with stakeholders to enhance AI integration, and assessing new technologies for software applications in the energy sector.

The Senior Data Scientist will support the Department of Defense by developing and optimizing AI and machine learning solutions within the Search Portfolio, enhancing data accessibility and decision-making processes. Responsibilities include collaborating with cross-functional teams, managing the AI/ML lifecycle, and employing advanced analytical methodologies on large datasets.

The Data Scientist will develop and improve machine learning and statistical models for Swish's sports betting products, analyze model performance, and work with cross-functional teams for deploying new models while adhering to software engineering practices.