Top Social Impact Data Science Jobs

Lead data science and analytics for a product group, shaping strategy, designing measurement frameworks, and building high-performance teams while partnering with executives.

Lead the data strategy for Headway's insurance platform, managing a team of data scientists to improve insurance operations and patient outcomes through data-driven insights and predictive modeling.

The Data Scientist will evaluate data sources, build model monitoring infrastructure, and create analytical tools for cross-functional collaboration, enhancing decision-making processes.

As a Sr. Data Scientist, you will lead complex initiatives in machine learning, mentor team members, drive technical roadmaps, and enhance code quality while solving challenging technical problems.

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 will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As a Data Science Intern, you will analyze data, communicate insights to stakeholders, and collaborate with ML scientists to enhance products and models.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.