Top Data Science Jobs

The Senior Data Scientist will work on advanced modeling techniques for advertising technology, focusing on measurement and optimization, while mentoring junior members.

The Senior Data Scientist will develop marketing measurement capabilities, mentor junior data scientists, and partner with teams to deliver AI-driven solutions.

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.

As a Sr. Data Scientist, you will build algorithms, analyze complex data, partner with teams to enhance customer experiences and communicate insights effectively.

The Marketing Data Scientist will optimize marketing performance, develop predictive models, and enhance decision-making through data analysis and AI-powered tools.

The Senior Data Scientist will architect analytical frameworks, develop metrics, influence product strategies, and ensure data quality for product intelligence.

The role involves developing data use cases, building predictive models, analyzing large datasets, and collaborating with stakeholders in supply chain domains.

The role involves leveraging data science and AI to generate business insights, develop predictive models, and mentor team members. Responsibilities include project management, deploying ML pipelines, and enhancing client solutions.

As a Senior Data Scientist at Grubhub, you will lead the design and analysis of experiments in collaboration with various teams, leveraging statistical methodologies to support decision-making and drive impact in the Diner & Fulfillment domain.

The Manager & Senior Data Scientist will lead data science initiatives, manage projects, evaluate data, and mentor junior staff while improving analytical models and processes.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

The Senior Data Scientist will develop predictive models, enhance algorithms, and collaborate with stakeholders to implement AI products while ensuring data quality and model performance.

As a Data Scientist, you'll build tools and models to analyze consumer revenue data, optimize marketing strategies, and measure initiative impacts.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, developing solutions and collaborating across teams.

The Senior Data Scientist will lead use cases for AI/ML solutions, collaborate with teams, and drive innovative solutions for business challenges.

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

As a Senior Data Scientist, you will leverage big data for insights, develop dashboards, and collaborate with stakeholders to solve business problems using data analytics.

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

The Lead Data Scientist will manage projects to meet business goals, develop data pipelines, and collaborate with teams to support strategic decisions.

As a Principal Data Scientist, you'll design and implement advanced analytics engines using AI and machine learning, collaborating with teams to address technical problems and develop robust data products.

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

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 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.