Senior Data Scientist — Leader in Ranking & AI (Remote)

Duck Duck Go

United States

À distance

USD 189 000 - 255 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Stock options
Paid parental leave
Co-working allowances

Résumé du poste

DuckDuckGo is seeking a senior Data Science leader to drive product impact by improving search ranking and relevance across our privacy-first platform. You will guide ML initiatives from scoping to production, mentor teams, and collaborate with product managers to shape strategy and delivery.

You will deploy NLP and AI-driven solutions in production, write scalable Python code, and optimize SQL for large-scale data. This role emphasizes ownership, privacy, and cross-functional excellence.

Qualifications

  • 10+ years of Data Science experience 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.
  • Hands-on experience deploying ML in production, developing NLP solutions, and AI-assisted development.
  • You write production-grade code in Python or a comparable high-level language.
  • Advanced SQL and query optimization skills; you collaborate effectively with product teams.

Responsabilités

  • Drive product and business impact through improving search engine ranking and results.
  • Develop new lexical-matching and document-authority signals.
  • Expand evaluations to measure relevancy readiness and surface ranking blind spots.
  • Investigate LLMs for feature generation and ranking.

Connaissances

Data Science
Leadership
Python
SQL
MLOps
NLP
Communication

Outils

Vespa
Elasticsearch
OpenSearch
Solr
Python

Description du poste

DuckDuckGo is seeking a senior Data Science leader to drive product impact by improving search ranking and relevance across our privacy-first platform. You will guide ML initiatives from scoping to production, mentor teams, and collaborate with product managers to shape strategy and delivery.

You will deploy NLP and AI-driven solutions in production, write scalable Python code, and optimize SQL for large-scale data. This role emphasizes ownership, privacy, and cross-functional excellence.

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