Senior Data Scientist

• Drive product and business impact through statistical modelling, experiment design, Bayesian marketing analysis, and classifier implementation across DuckDuckGo's search engine, instant answers, AI, and revenue optimisation. • Work with data that meets rigorous privacy standards and is necessarily sparse, thinking creatively to surface actionable insights in an evidence-first culture where quantitative rigour is the baseline. • Join a remote-first, profitable company of 300+ team members with $100M+ annual revenue and a culture of end-to-end project ownership.

• Bring 7+ years of experience in data science with a track record of leading high-complexity projects from scoping to production with minimal direction. • Be able to do two 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. • Write production-grade code in Python or a comparable high-level language. • Have advanced SQL and query optimisation skills with familiarity with columnar databases like BigQuery, ClickHouse, Redshift, or Druid. • Design, implement, and analyse experiments across product surfaces, and be comfortable deriving insights from sparse or privacy-constrained data. • Collaborate effectively with product teams and contribute to overall team throughput.

• Have experience with a BI tool like Tableau or Power BI. • Bring experience at a consumer-facing tech company where data or analytics is core to the product strategy. • Have expertise in privacy-preserving data science techniques and methodologies.

• Define core growth metrics for DuckDuckGo's products and build the infrastructure to monitor trends and anomalies. • Measure the impact of major marketing campaigns, translating full-funnel data into actionable decisions. • Build monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably. • Expand evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment. • Improve the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and the privacy-first approach. • Lead high-complexity projects end-to-end from scoping and execution to postmortem.

• Work fully remotely from any of the 14+ eligible countries. • Receive transparent, flat compensation of $178,500 USD annually plus stock options — the same for all team members at the same professional level regardless of location. • Take paid parental leave. • Receive an office setup and co-working allowance. • Travel at least twice a year for an all-hands meetup and a team retreat. • Enjoy a flexible work arrangement with no core hours.

DuckDuckGo is a remote-first online protection company of 300+ team members on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue exceeds $100M USD. Millions use their browser on Mac, Windows, iOS, and Android, their search engine, and the DuckDuckGo subscription. They also offer private, useful AI through Duck.ai, which lets users chat privately with ChatGPT, Claude, and other AIs in one place.