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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** DuckDuckGo - **Location:** Us, France - **Experience:** Expert - **Salary:** €134,600 - €190,500 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Databases, DuckDuckGo (Internet Search Engines), Python (Programming Language), Query Optimization, Power BI, Tableau (Software), Sql Optimization, Large Language Models, Druid, Production Code, Search Engines, Vertica, Amazon Redshift - **Published:** November 14, 2026 - **Apply:** https://www.welcometothejungle.com/en/companies/duckduckgo/jobs/senior-data-scientist_us_74ler3qs ## About the Role * 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. ## Description 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, and work on related projects. 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., * 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. Key Principles: * 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.