Senior Data Scientist

DuckDuckGo

29d • $178,500 - $178,500 • Remote

About The Position

Working on the Data Science Functional Team, you'll drive product and business impact through 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 running and advising experiments, and become an expert in our core metrics like searches, installs, and revenue.
You'll also own key pieces of the data pipeline, identifying and resolving data integrity issues and implementing derived data features for internal users. Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.
As a Senior Data Scientist, 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.

Requirements

• 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
• You can deploy and iterate ML and NLP solutions in production environments, with working knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development.
• You write production-grade code in Python or a comparable high-level language.
• You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid
• You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data.
• You collaborate effectively with product teams and contribute to overall team throughput.

Nice To Haves

• experience with a BI tool like Tableau or PowerBI is a plus.

Responsibilities

• Drive product and business impact through statistical modeling, experiment design, and classifier implementation across our search engine, instant answers, AI, and revenue optimization.
• Collaborate cross-functionally to validate direction through data
• Build trust in organizational tactics and strategy by running and advising experiments
• Become an expert in our core metrics like searches, installs, and revenue.
• Own key pieces of the data pipeline, identifying and resolving data integrity issues and implementing derived data features for internal users.
• Surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.

Benefits

• stock options
• Eligibility for company-sponsored health benefits is limited to team members based in the United States.
• paid parental leave
• office setup
• co-working allowances

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed