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 on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. 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!

Working on the Data Science Functional Team, you'll drive product and business impact through improving our search engine ranking and results. Recent projects include:

1. Improving first-phase ranking quality and precision without sacrificing latency

2. Developing new lexical-matching and document-authority signals

3. Expanding our search evaluations to measure relevancy readiness and surface ranking blindspots

4. Investigating LLMs for feature generation and ranking

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.

• You have 10+ years of experience in Data Science, with 2+ years at Staff, Principal, or Director level, and a track record of leading high-complexity projects from scoping to production with minimal direction.

• You are comfortable advising others on complex data science work.

• You can develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects.

• You have hands-on experience deploying ML in production, developing NLP solutions, and in AI-assisted development.

• You write production-grade code in Python or a comparable high-level language.

• You have advanced SQL and query optimization skills.

• You collaborate effectively with product teams and contribute to overall team throughput.

• Preferred experience:

  • Running search-specific projects (ranking, retrieval, or indexing) from scoping to production

  • Working with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr)

$222,033 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.

Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.

Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire.

DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to

• Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes.

• Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.

• Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.

By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at

#LI-DNI

Compensation: $222,033 • Offers Equity

• Annual Compensation • Annual Compensation $222,033 • Offers Equity

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