Senior Data Scientist

Who We Are

Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!

Your Team and Role

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.

About You

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

• 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.

Compensation

$178,500 USD annually and stock options. Compensation is identical within professional levels, regardless of geographic location or team. Compensation for each professional level is transparent across the organization.

Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.

Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.

Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup,<