Top Data Science Jobs

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The Data Scientist will develop analytic solutions and predictive models for TransUnion's clients in financial services and insurance. They will engage with clients, lead projects, and deliver insights using advanced programming and statistical techniques.

The Data Scientist will collect and preprocess data, develop statistical models, implement machine learning algorithms, and collaborate with teams to deliver analytical solutions and communicate findings effectively.

The Data Scientist develops analytics capabilities and automates data capture to enhance engineering excellence, system efficiency, and maintain data quality.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

Manage end-to-end Direct Mail campaigns, collaborate with marketing teams, analyze campaign effectiveness, and drive data-driven marketing strategies.

As a Staff Data Scientist, you'll lead data-driven projects, mentor team members, develop ML models, and collaborate cross-functionally to drive business insights and improve the personal loans segment.

The Staff Data Scientist will lead strategic research initiatives, develop predictive models linking product usage to business outcomes, and influence product roadmap and GTM strategies through insights and executive presentations.

As a Data Scientist, you will develop machine learning models, partner with cross-functional teams, and leverage technologies to provide insights from data for business applications.

As a Field Data Scientist at Braze, you'll collaborate with clients on data integration, develop ML models, and ensure successful product adoption while shaping the product strategy.

Join Braze as a Field Data Scientist to collaborate with customers on data integration, build APIs and ML models, and drive customer success.

The Field Data Scientist will collaborate with customers on analytics, improve data architecture, develop ML models, and ensure successful adoption of Braze's AI solutions.

As a Field Data Scientist, you will collaborate with clients to define use cases, improve product architecture, develop data pipelines, and refine ML models while ensuring successful customer outcomes.

As a Staff Data Scientist, you'll lead data science initiatives, collaborate with stakeholders, analyze large datasets, and build models to drive business decisions.

The Data Scientist collaborates with teams to develop AI solutions using large language and visual models for data-driven decision-making in customer services.

The Engineering Data Scientist will analyze data using machine learning and statistical techniques, develop models, and create visualizations to improve decision-making and business results.

The Engineering Data Scientist role involves analyzing aviation safety data, developing predictive models, and communicating safety insights to stakeholders to improve aircraft safety.

As a Data Scientist at Opendoor, you'll drive customer growth through machine learning, experimentation, and analytics, influencing significant investment decisions and optimizing strategies across the company.

As a Principal Associate Data Scientist, you'll build machine learning models, collaborate with cross-functional teams, and drive data insights to improve business decisions.

As a Staff Data Scientist, you will lead the development and integration of AI/ML models for performance management, focusing on statistical analysis, data modeling, and collaboration with engineering teams.

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

As a Principal Associate, Data Scientist, you will lead fraud detection strategies using machine learning and collaborate with cross-functional teams to enhance fraud models and deliver innovative solutions.

This role involves developing analytic solutions and predictive models for TransUnion's clients, managing client engagements, and conducting complex data analysis.

The Data Scientist role focuses on leveraging modeling and analytics to improve banking operations and customer experiences through innovative data solutions.