Senior Data Scientist
About The Position
DuckDuckGo is seeking a Senior Data Scientist to join their remote-first team. This role will drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across various product areas including search engine, instant answers, AI, and revenue optimization. The company emphasizes a culture of trust, inclusivity, and empowered project management, offering end-to-end ownership of projects. Recent projects include defining core growth metrics, measuring marketing campaign impact for Duck.ai, building monitoring pipelines for search traffic, expanding evaluation datasets for page context understanding, and improving AI-assisted answer surfacing systems. The role requires creative problem-solving to derive insights from sparse and privacy-constrained data.
Requirements
- 7+ years of experience in Data Science.
- Track record of leading high-complexity projects from scoping to production with minimal direction.
- Ability to deploy and iterate on ML in production environments.
- Ability to 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.
- Write production-grade code in Python or a comparable high-level language.
- Advanced SQL and query optimization skills.
- Familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid.
- Comfortable deriving insights from sparse or privacy-constrained data.
Nice To Haves
- Experience with a BI tool like Tableau or PowerBI.
Responsibilities
- Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
- Work on related projects across search engine, instant answers, AI, and revenue optimization.
- Define core growth metrics for products and build infrastructure to monitor trends and anomalies.
- Measure the impact of major marketing campaigns, translating full-funnel data into actionable decisions.
- Build monitoring pipelines to detect unexpected shifts in search traffic patterns.
- Expand evaluation datasets for page context understanding.
- Improve trigger systems for AI-assisted answers, balancing quality and privacy.
- Design, implement, and analyze experiments across product surfaces.
- Derive insights from sparse or privacy-constrained data.
- Collaborate effectively with product teams and contribute to overall team throughput.
Benefits
- Stock options
- Company-sponsored health benefits (limited to US-based team members)
- Paid parental leave
- Office setup allowance
- Co-working allowances
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
