Principal Data Scientist

What you'll do

• Analyze ads revenue, supply and demand behavior, and growth opportunities; translate findings into recommendations for executive leaders.
• Define success metrics and measure the impact of ML and product initiatives to inform product strategy and roadmaps.
• Lead technical initiatives, collaborate across functions, and mentor data scientists.

What they ask for

• Advanced degree in Economics, Computer Science, Machine Learning, Statistics, Mathematics, a related field, or equivalent practical experience.
• Strong statistical analysis and experimentation practice in Python, R, or equivalent, applied to large-scale data and user behavior.
• Deep experience analyzing an advertising business or a two-sided marketplace, with understanding of supply, demand, and advertiser behavior.
• Experience presenting recommendations to C-level and executive leaders and leading technical work without formal authority.

Nice to have

• Experience in AdTech, performance marketing, mobile games, or SaaS marketplace products.
• Hands-on work with agentic or LLM-based analytics tooling, or experience developing, deploying, or analyzing ML products and models in production.

Pay

$243,800 - $317,000 USD (base salary); $217,000 - $282,000 USD (base salary); $192,100 - $249,700 USD (base salary)

Tools

Python, R, ML, agentic, LLM

AI focus

Works across Ads and AI, including ownership of high-impact ML products and measurement of ML initiatives; agentic or LLM-based analytics tooling is a preferred qualification.