Senior Data Scientist

DuckDuckGo Up to $178.5K/year Posted about 2 months ago

100% remote Worldwide

About the role

Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization. Recent projects include:

  • Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies
  • Measuring the impact of major marketing campaigns for duck.ai, translating full-funnel data into actionable decisions
  • Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably
  • Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment
  • Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach

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.

Qualifications

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 do 2 or more of the following:

  • Deploy and iterate on ML in production environments
  • Develop and deploy NLP solutions
  • Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development
  • Conduct marketing campaign analysis using Bayesian methods
  • 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.

Skills

Benefits

  • Equity / stock options
  • Parental leave
  • Remote work stipend
  • Flexible working hours

Hiring process

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.

Please note

  • 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.

How to apply

Apply directly on the employer's application page. Your application goes straight to them.

Republished listing

This opportunity was discovered on DuckDuckGo's public careers page and is republished here for discovery purposes. Applications are handled by the employer.

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