Top Data Science Jobs

The Data Scientist will analyze complex data to derive insights, using AI techniques and machine learning to optimize defense systems while collaborating across teams.

The Senior Data Scientist will lead data science initiatives, collaborate with various teams, and drive business outcomes through data analysis and modeling.

As a Data Scientist, you'll analyze data to create insights, develop algorithms, and assist clients in making informed decisions leveraging machine learning and AI technologies.

The Data Scientist will develop models and algorithms, analyze data for insights, and support data integration, forecasting operational needs, and improving decision-making processes.

As a Senior Data Scientist, you'll analyze complex datasets, apply scientific methods, and lead algorithm development to provide insights for clients in various sectors.

The Staff Data Scientist will lead projects to develop advanced data models, analyze datasets, ensure data quality, and mentor junior scientists, aligning efforts with business goals.

As a Data Scientist, you'll solve healthcare challenges using machine learning and predictive modeling while collaborating with various teams to enhance operational outcomes.

The Data Scientist will lead research to enhance AI agents' capabilities through model development, data analysis, and collaboration with cross-functional teams.

As a Data Scientist, you'll develop machine learning models for credit and fraud risk management, optimize underwriting decisions, and improve risk strategies using complex data analysis.

The Data Scientist I role involves data modeling, analytical framework development, use of statistical and econometric methods, and communicating findings to management.

Join Docker as a Data Scientist on the Data Insights team to analyze product usage, run experiments, and provide actionable insights for enhancing product strategy.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

The Data Scientist will analyze data, build dashboards, collaborate with teams, and develop machine learning models while driving data-driven decisions.

As a Forward Deployed Data Scientist, you'll work closely with strategic customers to implement AI solutions, enhance customer support operations, and provide insights that inform product strategy.

The Data Scientist will extract meaning from large datasets, using statistical and computational methods, and communicate findings effectively. The role requires strong programming skills and experience in machine learning and data science.

As a Data Scientist, you will analyze large datasets, develop models, and communicate complex technical conclusions effectively to non-technical stakeholders. Responsible for crafting data-driven strategies and ensuring the technical requirements meet mission needs.

As a Data Scientist 3, you will extract insights from large datasets, develop analytic models, and communicate findings to non-technical audiences, with a focus on federal clients.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

As a Data Scientist, you'll develop data-driven strategies, analyze complex datasets, deploy statistical models, and communicate insights to stakeholders, driving user-centered experiences and model quality collaboration.

The NHL Data Scientist will develop and enhance machine learning models for sports betting, analyze model performance, and collaborate with engineering teams.

As a Data Scientist II, you will develop fraud detection models, advance financial risk products, and conduct analyses, while writing production-ready code in a dynamic environment.

The Data Scientist at Candescent uses statistical and AI/ML methods to analyze data, support product strategy, and drive data-informed decision-making. Responsibilities include user behavior analysis, product experimentation, and risk assessment through advanced analytics, while collaborating with cross-functional teams.

As a Data Scientist at Lyft, you'll develop algorithms for pricing and rider engagement, collaborating with engineers and product teams to drive business growth and optimize decision-making.