Top Data Science Jobs

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.

Data Scientist will implement AI/ML solutions, statistical analyses, and predictive modeling while collaborating across various business units to enhance decision-making processes.

The Data Scientist will analyze datasets, develop models to predict fraud, and contribute to R&D by utilizing advanced mathematical and machine learning techniques.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

The Data Scientist builds analytical models and data architectures, delivering business value through data, collaborating with teams to develop actionable insights and solutions.

As a data scientist, you'll develop technology solutions, data pipelines, and platforms to make data meaningful for clients.

The Data Scientist II analyzes cybersecurity data, develops models to predict threats, visualizes data insights, and presents findings to clients and executives.

As a Data Scientist on the Dynamic Pricing team, you'll develop pricing models using econometrics and machine learning, ensuring model accuracy and marketplace efficiency while collaborating across departments to communicate findings and insights.

As a Data Scientist, you will own analytical projects that influence product decisions and marketing campaigns. You'll apply statistical methods and predictive modeling to enhance customer value and drive business outcomes, collaborating cross-functionally to integrate insights into strategies.

As a Senior Data Scientist, you will enhance product performance through strategic roadmap execution, data analysis, and stakeholder collaboration in the ads supply ecosystem.

Own end-to-end data science and ML work for B2C customers: build recommendation, forecasting, segmentation, and activation models; design A/B tests and causal analyses; create configurable multi-tenant model architectures; extract signal from sparse/noisy data; partner with engineering to productionize models and deliver analyses that change business decisions.

Lead and own the data science function: design and build production ML systems (recommendation, forecasting, segmentation), develop configurable multi-tenant models, run rigorous experimentation and causal analyses, connect model outputs to business impact, set scientific standards, and hire and mentor a high-velocity data science team.

As Lead Data Scientist, you will drive technical strategy for machine learning, NLP, and LLM initiatives, leading teams to develop and deploy production-grade AI systems.

As a Senior Data Scientist, you'll analyze complex data, develop algorithms, and guide teams to provide insights for decision-making across sectors like fraud detection and cancer research.

As a Data Scientist, you will develop machine learning algorithms, analyze complex datasets, and provide actionable insights for the U.S. Intelligence Community.

The Senior Exploitation Specialist (Data Scientist) will manage databases, create scalable processes for large datasets, support intelligence missions through data analysis, and provide visualizations for operational use.

The Senior Data Scientist will lead the modernization of Impact's identity graph infrastructure by auditing and improving its construction, quality, and resolution methods, while collaborating with external partners and maintaining documentation and research.

As a Mid Data Scientist, you will analyze IoT and machine learning data to provide insights, develop algorithms, and manage documentation for analytics projects primarily for the Department of Defense.

Lead advanced data analytics integration, develop analytical models, provide strategic recommendations, and enhance organizational efficiency and security while overseeing risk and policy development.

As a Data Scientist at Spotify, you will drive growth through performance marketing by developing models, analyzing data, and optimizing campaigns for effective budget allocation.

The Data Scientist will manage the data science lifecycle, collaborating with teams to create predictive models, analyze complex problems, and communicate insights to stakeholders.

The Data Scientist will lead ML development for customer experience, optimize AI systems, and collaborate with product and engineering teams to enhance customer interactions at Robinhood.

The Data Scientist supports AI/ML solutions, conducts exploratory data analysis, implements machine learning models, and collaborates on data-driven projects.

As a Senior Data Scientist, you will guide model development and deployment, collaborate with teams, and mentor talent, focusing on automation and real-time intelligence in trading.

The Principal Data Scientist will design and implement advanced AI/ML systems, lead development of large-scale machine learning solutions, and drive AI innovation in healthcare while mentoring other data scientists.