Senior Data Scientist

About the role

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, 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. 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 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.

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