Staff Data Scientist

DuckDuckGo

2d•$222,033 - $222,033•Remote

About The Position

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.

Requirements

10+ years of experience in Data Science
2+ years at Staff, Principal, or Director level
Track record of leading high-complexity projects from scoping to production with minimal direction
Comfortable advising others on complex data science work
Ability to develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects
Hands-on experience deploying ML in production
Hands-on experience developing NLP solutions
Hands-on experience in AI-assisted development
Production-grade code in Python or a comparable high-level language
Advanced SQL and query optimization skills
Ability to collaborate effectively with product teams and contribute to overall team throughput
Must pass a background check

Nice To Haves

Running search-specific projects (ranking, retrieval, or indexing) from scoping to production
Working with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr)

Responsibilities

Drive product and business impact through improving our search engine ranking and results.
Improve first-phase ranking quality and precision without sacrificing latency.
Develop new lexical-matching and document-authority signals.
Expand search evaluations to measure relevancy readiness and surface ranking blindspots.
Investigate LLMs for feature generation and ranking.
Surface actionable insights in an evidence-first culture.
Lead high-complexity projects from scoping to production with minimal direction.
Advise others on complex data science work.
Develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects.
Deploy ML in production.
Develop NLP solutions.
Engage in AI-assisted development.
Write production-grade code in Python or a comparable high-level language.
Utilize advanced SQL and query optimization skills.
Collaborate effectively with product teams and contribute to overall team throughput.
Run search-specific projects (ranking, retrieval, or indexing) from scoping to production.
Work with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr).