Privacy-Driven Data Science Director

DuckDuckGo; United States; Remote; USD 207,000 - 280,000; Full time

Benefits offered by this job

Health benefits

Paid parental leave

Office setup

Co-working allowances

Job summary

DuckDuckGo is seeking a Director of Data Science to shape our all-in-one privacy solution and lead a team of data scientists and ML engineers. You'll set multi-team roadmaps, mentor practitioners, and remove blockers to deliver high-impact projects across search, AI, and revenue optimization.

This role requires 10+ years in data science or ML, 4+ years of leadership, and a track record of data-driven decisions.

Qualifications

• 10+ years of experience in data science or ML engineering, with 4+ years leading teams.
• Experience driving data-driven decision-making and communicating tradeoffs to executives.
• Experience coaching data scientists and building high-performing teams.
• Production deployment of ML and NLP in privacy-conscious environments.
• Proficiency in Python or similar language and production-grade coding.
• Strong SQL and columnar DB knowledge.
• LLM/AI experience including fine-tuning and evaluation.
• Preferred: experience at a consumer-facing tech company where data or analytics is core.

Responsibilities

• Guide and advise multiple data science projects to ensure timely delivery and impact.
• Mentor data scientists and set expectations.
• Collaborate cross-functionally to validate direction through data.
• Design, implement, and analyze experiments across product surfaces.
• Improve the data pipeline while upholding privacy standards.

Skills

Data science leadership

Mentorship

Python

SQL

Experiment design

ML engineering

Data-driven decision making

Tools

BigQuery

Clickhouse

Redshift

Druid

Job description

DuckDuckGo is seeking a Director of Data Science to shape our all-in-one privacy solution and lead a team of data scientists and ML engineers. You'll set multi-team roadmaps, mentor practitioners, and remove blockers to deliver high-impact projects across search, AI, and revenue optimization.

This role requires 10+ years in data science or ML, 4+ years of leadership, and a track record of data-driven decisions.