Staff Data Scientist

• 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)

• You'll be required to attend meetings on camera via video conferencing

• Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.

• While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.

• A successful candidate must pass a background check as a condition of joining the team.

• By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.

Disclosure Statement: Use of AI in Hiring Process

As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process.

• 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 careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!