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Director, Data Science

Data Scientist Full-time Permanent United States

Job details

$263.3K • Offers Equity Salary
United States Eligibility
Director Experience
Full-time Employment

About this role

Role overview Lead a data science function whose work informs product decisions and business outcomes across search, AI, and revenue-focused experiences. You will coach experienced data scientists, guide multiple projects from planning through delivery, and help teams make rigorous decisions using evidence while working within strong privacy constraints.

Responsibilities - Develop data scientists through clear expectations, hands-on mentorship, direct feedback, and help removing blockers. - Guide several projects involving statistical modeling, experiment design, and classifier development, keeping delivery timely and focused on impact. - Advise cross-functional teams on experiments and use data to assess product direction and organizational plans. - Build deep understanding of core measures such as searches, installs, and revenue, and improve the data pipeline. - Find ways to produce useful insights from sparse or privacy-constrained data. - Set and adapt multi-team roadmaps as priorities change, explaining technical tradeoffs and risks to senior and cross-functional partners.

Requirements - 10 or more years in data science or machine learning engineering, including at least four years leading teams. - A record of setting roadmaps across teams and guiding work through shifting priorities. - Expert ability to deploy and iterate on machine learning and NLP systems in production, including in settings with tight privacy requirements and fast response needs. - Strong production coding skills in Python or a comparable high-level language, with willingness to stay close to technical work. - Advanced SQL and query optimization skills; familiarity with columnar databases such as BigQuery, ClickHouse, Redshift, or Druid. - Strong experience with LLMs and AI, including fine-tuning, LLM-based evaluation, and designing and analyzing product experiments.

Nice to have - Experience in consumer technology where data or analytics plays a central role in product strategy.

Benefits and work setup - Compensation is set by region and paid in local currency, with stock options. Listed annual base pay: US $263,300; UK £183,850; Canada C$346,250; Europe and other regions €214,950. The listing describes planned transitions to the euro scale for Spain in 2027 and other Europe and rest-of-world locations in 2027. - Flexible scheduling without core hours, with an expected average of 40 hours per week. - Travel is expected at least twice yearly for an all-hands gathering and a team retreat, each around four to five days. Video meetings are held on camera.

Skills detected in the listing

PythonSQLData EngineeringStakeholder ManagementMachine LearningLLM
Detected Oct 16, 2026
Last verified Oct 16, 2026

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