Top Data Science Jobs

The Senior Data Scientist develops machine-learning solutions to optimize user engagement in mobile apps and collaborates with various teams for data-driven insights.

The Product Data Scientist will analyze complex datasets, build dashboards, design A/B tests, and communicate actionable insights to drive product and business growth.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

The intern will assist the data science team by working on projects related to Ardian's portfolio assets and company-wide initiatives, requiring autonomy with supervision.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Lead Data Scientist will develop AI solutions, manage data pipelines, design machine learning models, and collaborate with cross-functional teams to innovate and implement advanced technologies.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Data Scientist will execute analytical projects, conduct data analysis, develop visualizations, and present insights to support business decisions.

The Principal Data Scientist leads the Price and Promotions Data Science team, designing analytics products to optimize pricing and drive customer satisfaction. Responsibilities include solving complex problems, managing large datasets, mentoring team members, and collaborating with the Data Engineering team.

The Sr. Data Scientist develops AI/ML solutions, builds data pipelines, mentors technologists, and collaborates with teams to meet operational goals.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Design and build data schemas and models, perform analytics and transformations, run complex graph-database queries, operate in cloud compute environments, produce weekly progress highlights, and prepare briefings, slides, and user documentation while collaborating with cross-functional teams under program management.

The Senior Data Scientist develops predictive models to improve healthcare outcomes, analyzes data for optimization, and experiments with AI technologies.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.

The Principal Data Scientist will develop data systems for Oncology R&D, design data pipelines, and work with cross-functional teams to translate business needs into data products.

The Principal Data Scientist will standardize linked biomedical and clinical data, focusing on graph-based models while collaborating across teams to create AI-Ready datasets for Oncology R&D.

The Senior Data Scientist will develop marketing intelligence frameworks, predictive models, and causal inference systems to drive business growth and enhance decision-making in marketing strategies.

The Senior Data Scientist will define opportunities, harvest data for machine learning models, lead project designs, collaborate across teams, and communicate insights effectively.

As a Data Scientist at Nextdoor, you will design experiments and conduct analyses to drive product strategies while collaborating with cross-functional teams.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

The Data Scientist will evaluate supply chain data, create predictive models, and integrate data from multiple sources, requiring strong analytical skills and knowledge of statistical modeling.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

The Senior Data Scientist will lead analytics initiatives, develop machine learning models, quantify business impacts, and mentor team members. This role requires direct collaboration with business leaders to drive strategy and improve performance through advanced analytics.