From the listing
About the role
DuckDuckGo is the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, millions use our browser, search engine, and DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai.
As a Senior Data Scientist on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization.
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.
What you'll do
- Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
- Work on related projects, including defining core growth metrics and building infrastructure to monitor trends and anomalies.
- Measure the impact of major marketing campaigns for Duck.ai, translating full-funnel data into actionable decisions.
- Build monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably.
- Expand evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment.
- Improve the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach.
- Think creatively to surface actionable insights from data that meets rigorous privacy standards and is necessarily sparse.
What they're looking for
- 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
- Can do two 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.
- Write production-grade code in Python or a comparable high-level language.
- Advanced SQL and query optimization skills, and familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid.
- Design, implement, and analyze experiments across product surfaces, and derive insights from sparse or privacy-constrained data.
- Collaborate effectively with product teams and contribute to overall team throughput.
- Attend meetings on camera via video conferencing.
- Expect to travel at least two times a year: once for an all-hands meetup and again for a team retreat, each around 4–5 days. While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- Expect an average full-time commitment of 40 hours per week.
- Pass a background check as a condition of joining the team.
Nice to have
- Experience with a BI tool like Tableau or PowerBI.
From the company page
DuckDuckGo benefits
◉ Remote policy · in their words
“Remote First, Always: We've always been a fully distributed company with team members all over the world. We trust you to get your work done wherever, and whenever.”
Pulled from their careers page · verified by Atlas
The hot takeJeff's read on DuckDuckGo
DuckDuckGo has the only perfect score in our database, and is THE prototype for what we look for in a work-from-anywhere company. Well, not JUST a WFA company, but ANY company. Here's the core tenets we look for:
- Clear prioritization of working from anywhere as a business model.
- Clear expression of trust and empowerment for employees.
- Understanding that output > location or hours.
- Transparent perk package.
- Transparent salary offering per role.
- Emphasis of employees over mission statement.