Director, Data Science
New
D
DuckDuckGoSearch technology
Location: Remote; Secondary Locations: Slovakia (Remote), Spain (Remote), Czechia (Remote), Switzerland (Remote), Estonia (Remote), United Kingdom (Remote), Portugal (Remote), Bulgaria (Remote), Austria (Remote), Iceland (Remote), Hungary (Remote), Ireland (Remote), South Africa (Remote), Romania (Remote), Poland (Remote), United States (Remote); Workplace: RemoteFull-TimeDirector
SalaryUnited 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. Offers Equity.
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Job Details
- Experience
- 10+ years of experience in data science or ML engineering, with 4+ years leading teams
- Required Skills
- PythonSQLMachine LearningData scienceBigQueryNLPLLM
Requirements
- Have 10+ years of experience in data science or ML engineering.
- Have 4+ years of experience leading teams.
- Have a track record of setting multi-team roadmaps and adapting as priorities shift.
- Have driven organizational culture toward data-driven decision-making.
- Translate technical tradeoffs and risks clearly for executives and cross-functional stakeholders.
- Coach experienced data scientists and provide direct, actionable feedback.
- Deploy and iterate ML and NLP solutions in production at an expert level.
- Write production-grade code in Python or a comparable high-level language.
- Have advanced SQL and query optimization skills.
- Be familiar with columnar databases such as BigQuery, ClickHouse, Redshift, or Druid.
- Have strong LLM/AI experience, including fine-tuning, LLM-as-judge evaluation, and AI-assisted development.
- 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 product strategy.
Responsibilities
- Develop data scientists, set clear expectations, provide hands-on mentorship, and remove blockers.
- Guide and advise multiple data science projects to support timely delivery and impact.
- Oversee projects involving statistical modeling, experiment design, and classifier implementation.
- Apply data science across the search engine, instant answers, AI, and revenue optimization.
- Collaborate cross-functionally to validate direction through data.
- Consult on experiments to build trust in organizational tactics and strategy.
- Build expertise in core metrics including searches, installs, and revenue.
- Drive improvements to the data pipeline.
- Develop strategies for surfacing actionable insights using privacy-constrained data.
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