[Hiring] Senior Data Scientist @DuckDuckGo

Role Description

Working on the Data Science Functional Team, you'll drive product and business impact through:

• Statistical modeling
• Experiment design
• Bayesian marketing analysis
• Classifier implementation across our search engine, instant answers, AI, and revenue optimization

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.

Qualifications

• 7+ years of experience in Data Science
• Track record of leading high-complexity projects from scoping to production with minimal direction
• Ability to 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
• Production-grade coding skills in Python or a comparable high-level language
• 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
• Ability to design, implement, and analyze experiments across product surfaces
• Comfortable deriving insights from sparse or privacy-constrained data
• Effective collaboration with product teams

Requirements

• 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)
• Flexible work arrangement with no core hours, average full-time commitment of 40 hours per week
• Pass a background check as a condition of joining the team

Benefits

• $178,500 USD annually and stock options
• Transparent compensation across the organization
• Eligibility for company-sponsored health benefits limited to team members based in the United States
• Paid parental leave, office setup, and co-working allowances