Join a team that impacts over a billion users globally by providing quantitative insights and strategic perspectives. As a data-loving analytics expert, you'll translate complex data into compelling stories, driving better decision-making for Engineering and Product Management.

The Geo Data Science CORE team empowers Geo to optimize user experiences and make value-driven investments through innovative data science solutions.

This role involves collaborating with Geo Engineering teams on data quality, user-data connections, geospatial ecosystem growth, scaling AI/ML, and the impact of GenAI on Maps. You'll partner with Product Managers, Engineers, and UX Researchers to analyze user funnels and uncover growth opportunities in key international markets.

Design and execute live A/B experiments and causal inference models to measure the impact of data enhancements and feature rollouts on user engagement and growth. Collaborate with operations leadership and program managers to scale operations, conduct quality evaluations, and optimize data governance. Build intelligent AI workflows, automated alerting systems, and self-service analytics tools to improve operational efficiency and system velocity. Maintain foundational data pipelines and dashboards for operational visibility and business scorecard tracking.

A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Science, Engineering, Physics, or Economics is required.

Requires 5 years of work experience applying analytics to product or business challenges, including statistical analysis and coding in languages like Python, R, or SQL. Alternatively, 2 years of experience with a Master's degree is acceptable.

Preferred qualifications include a Master's degree in a related quantitative field and 5 years of relevant work experience. Experience in machine learning or predictive modeling is also highly valued.