Data Scientist

What you'll do

• Own end-to-end development and deployment of quantitative models and tools, from scoping and data pipelines through impact measurement and adoption.
• Research AI-driven methods and data sources, and integrate solutions into Product, Content, and Marketing workflows and decision-making.
• Represent the team in scientific and business reviews, and mentor junior scientists.

What they ask for

• Master's degree or above in a quantitative field, or PhD.
• 2+ years of applied/industry experience using Python and SQL with large datasets for empirical analysis, modeling, and data visualization.
• Experience solving loosely defined optimization and/or measurement problems.
• Familiarity with economic methods and reasoning, including causal thinking, incentive design, and counterfactual frameworks.

Nice to have

• Experience applying econometric methods at scale to pricing, sales, investment, experimentation, or product optimization in digital media.
• Experience with production model monitoring, debugging, and maintenance.

Pay

175,100.00 - 236,900.00 USD annually (base salary)

Tools

Python, SQL

AI focus

Use AI as a core workflow tool to build and scale robust, interpretable, production-ready models, systems, and tools; evaluate emerging AI-driven methods and promote scalable AI-enabled analytical work.