Director, Data Science
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COMPENSATION
$263k – $263k
Listed on the employer's job board (Ashby)
- Fully remote
- Director level
- Python + SQL
- LLM/AI focus
- Privacy-first culture
Join DuckDuckGo’s Data Science Functional Team to drive business impact through mentorship and strategic project guidance. You will oversee statistical modeling, experiment design, and classifier implementation across search, instant answers, and AI products while fostering a culture of quantitative rigor and privacy-first innovation.
What you'll do
- Mentor and develop data scientists, setting clear expectations and removing blockers
- Guide multiple data science projects to ensure timely delivery and maximum impact
- Collaborate cross-functionally to validate strategy through data and experiments
- Become an expert in core metrics such as searches, installs, and revenue
- Drive improvements to the data pipeline and surface actionable insights
- Develop strategies for analysis within strict privacy constraints
What you'll need
- 10+ years in data science or ML engineering with 4+ years leading teams
- Track record of setting multi-team roadmaps and adapting to shifting priorities
- Ability to translate technical tradeoffs for executives and stakeholders
- Expert-level deployment of ML and NLP solutions in production
- Proficiency in writing production-grade code in Python or similar languages
- Advanced SQL skills and familiarity with columnar databases like BigQuery or Clickhouse
- Strong experience with LLMs, fine-tuning, and AI-assisted development
Nice to have
- Experience at a consumer-facing tech company where data is core to strategy
Stack
- Python
- SQL
- BigQuery
- Clickhouse
- Redshift
- Druid
- LLMs
- NLP
How you'll work
- Fully remote position
- No core hours, flexible arrangement
- Average 40-hour work week
- Video conferencing required for meetings
- Travel twice a year for all-hands and team retreats
What you get
- Regional pay scale with transparent compensation
- Stock options included
- Paid parental leave
- Office setup and co-working allowances
- Focus on wellbeing and support
Hiring process
- AI tools used to review and summarize applications
- Human oversight for final evaluations and hiring decisions
- Background check required upon offer