Working on the Data Science Functional Team, you'll drive product and business impact by developing data scientists, setting clear expectations for them, providing hands-on mentorship, and removing blockers.

You will guide and advise multiple data science projects so that they stay on track and have timely delivery with maximum impact. These projects will involve statistical modeling, experiment design, and classifier implementation across our search engine, instant answers, AI, and revenue optimization. You'll collaborate cross-functionally to validate direction through data, build trust in organizational tactics and strategy by consulting on experiments, and become an expert in our core metrics like searches, installs, and revenue. You'll also drive improvement of the data pipeline. Because of our strong privacy policies, you'll need to think creatively and develop strategies for how we can surface more actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.

As a Director, Data Science, you'll help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.

About You

You have 10+ years of experience in data science or ML engineering, with 4+ years leading teams, and a track record of setting multi-team roadmaps and adapting swiftly as priorities shift.
You've driven organizational culture toward data-driven decision-making and can translate technical tradeoffs and risks clearly for executives and cross-functional stakeholders.
You enjoy coaching experienced data scientists who are already highly skilled. You give direct, actionable feedback and you've built teams where people do the best work of their careers.
You can deploy and iterate ML and NLP solutions in production at expert level, with deep knowledge of when to reach for which tools - especially in constrained environments requiring fast responses and strict privacy standards.
You write production-grade code in Python or a comparable high-level language and stay close to the technical work when it matters most.
You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid.
You have strong LLM/AI experience including fine-tuning, LLM-as-judge evaluation, and AI-assisted development, and can design, implement, and analyze experiments across product surfaces using sparse or privacy-constrained data.
Preferred: experience at a consumer-facing tech company where data or analytics is core to the product strategy.

Compensation

This role is paid on a regional pay scale, in local currency, and stock options:

United States: $263,300 USD annually
United Kingdom: £183,850 GBP annually
Canada: C$346,250 CAD annually
Europe/Rest of World: €214,950 EUR annually

In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.

Compensation is trans

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