Staff Data Scientist

Duck Duck Go · RemoteRemotolead

En corto

▸Científico de datos de nivel staff enfocado en mejorar el ranking y relevancia de resultados de búsqueda.
▸Trabajo diario: diseñar modelos ML/NLP, optimizar queries, evaluar calidad de resultados con enfoque en privacidad y rigor cuantitativo.
▸Destacado: Compensación fija y transparente de $222,033 sin diferencias por ubicación geográfica.

No se requiere, pero se espera participación activa en reuniones en inglés.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓10+ años de experiencia en ciencia de datos
✓2+ años en roles de Staff, Principal o Director
✓Experiencia comprobada en llevar proyectos ML desde el planteamiento hasta producción
✓Capacidad para guiar y asesorar a otros en trabajo de ciencia de datos complejo
✓Habilidades avanzadas en SQL y optimización de consultas
✓Experiencia práctica en despliegue de modelos ML en producción

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLMLNLPLLMsfeature generationrankingretrievalindexingVespa

¿A quién escribirle en Duck Duck Go?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 improving our search engine ranking and results. Recent projects include: Improving first-phase ranking quality and precision without sacrificing latency Developing new lexical-matching and document-authority signals Expanding our search evaluations to measure relevancy readiness and surface ranking blindspots Investigating LLMs for feature generation and ranking 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 10+ years of experience in Data Science, with 2+ years at Staff, Principal, or Director level, and a track record of leading high-complexity projects from scoping to production with minimal direction. You are comfortable advising others on complex data science work. You can develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects. You have hands-on experience deploying ML in production, developing NLP solutions, and in AI-assisted development. You write production-grade code in Python or a comparable high-level language. You have advanced SQL and query optimization skills. You collaborate effectively with product teams and contribute to overall team throughput. g. Vespa, Elasticsearch, OpenSearch, or Solr) Compensation $222,033 USD annually and stock options. Compensation is identical within professional levels , regardless of geographic location or team. Compensation for each professional level is transparent across the organization. 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 . Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants , and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible.

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