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Jobs / Duck Duck Go

Senior Data Scientist

Duck Duck Go·RemoteRemotesenior

In short

  • →Científico de datos senior que impulsa decisiones con modelos estadísticos y ML en productos como búsqueda, IA privada y marketing.
  • →Trabajo diario: diseñar experimentos, analizar datos con enfoque bayesiano, construir pipelines y mejorar sistemas de triggers para IA, todo con datos escasos y
  • →Lo más destacado: alta autonomía en proyectos, desde definición hasta producción, en un entorno completamente remoto y enfocado en confianza y rigor cuantitativ

Experience with English is required for collaboration across global teams.

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The questions they'll ask you

1. ¿Cómo diseñarías un experimento para evaluar el impacto de un nuevo sistema de triggers de respuestas con IA en DuckDuckGo, considerando datos escasos y privacidad estricta?

2. ¿Qué técnicas usarías para mejorar la precisión de un clasificador de contexto de página en escenarios complejos como navegación multi-pestaña?

3. ¿Cómo aplicarías métodos bayesianos para medir el rendimiento de una campaña de marketing para Duck.ai, y qué métricas prioritarias usarías?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓7+ años de experiencia en ciencia de datos
  • ✓liderazgo de proyectos complejos desde cero hasta producción
  • ✓experiencia en ML en producción
  • ✓análisis de campañas de marketing con métodos bayesianos
  • ✓modelado estadístico y diseño de experimentos
  • ✓manejo avanzado de SQL y bases de datos columnares (BigQuery, ClickHouse, Redshift, Druid)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLBigQueryClickHouseRedshiftDruidTableauPowerBIBayesian methodsLLMs

Who should you write to at Duck Duck Go?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Who We Are 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 on Mac , Windows , iOS , and Android , our search engine , and the DuckDuckGo subscription . ai , which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. 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, and work on related projects. 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. Compensation $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. 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 .

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