Director, Data Science

Job not on LinkedIn

🕒 May 29

🇺🇸 United States – Remote

💵 $263.3k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 34%

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Logo of DuckDuckGo

DuckDuckGo

51 - 200 employees

Founded 2008

💼 Consulting

📣 Marketing

🔒 Cybersecurity

Consulting • Marketing • Cybersecurity

DuckDuckGo is an independent Internet privacy company dedicated to providing users with tools that enhance their online privacy. Best known for its search engine, DuckDuckGo offers a free web browser and browser extensions for iOS, Android, Mac, and Windows that include built-in privacy features such as tracker blocking, encryption, and email protection. Unlike traditional search engines and browsers that track search and browsing history, DuckDuckGo prioritizes user privacy by preventing tracking and targeted advertising. The company operates on the premise that privacy should be simple and accessible, offering a private alternative to major tech companies while remaining financially sustainable through non-invasive ads based on search results rather than personal data.

📋 Description

• Develop data scientists, set clear expectations, provide hands-on mentorship, and remove blockers • Guide and advise multiple data science projects to ensure timely delivery and maximum impact • Oversee statistical modeling, experiment design, and classifier implementation across search, instant answers, AI, and revenue optimization • Collaborate cross-functionally to validate direction through data • Consult on experiments and build trust in organizational tactics and strategy • Develop expertise in core metrics including searches, installs, and revenue • Drive improvements to the data pipeline • Develop privacy-conscious strategies to surface actionable insights • Help shape DuckDuckGo’s all-in-one privacy solution and advance its mission to make online privacy simple

🎯 Requirements

• 10+ years of experience in data science or ML engineering • 4+ years leading teams • Track record of setting multi-team roadmaps and adapting as priorities shift • Experience driving data-driven decision-making and translating technical tradeoffs and risks for executives and cross-functional stakeholders • Experience coaching experienced data scientists and building high-performing teams • Expert-level ability to deploy and iterate ML and NLP solutions in production • Production-grade Python or comparable high-level language • Advanced SQL and query optimization skills • Familiarity with columnar databases such as BigQuery, ClickHouse, Redshift, or Druid • Strong LLM/AI experience, including fine-tuning, LLM-as-judge evaluation, and AI-assisted development • Ability to design, implement, and analyze experiments using sparse or privacy-constrained data • Successful completion of a background check • Ability to attend video meetings on camera • Average full-time commitment of 40 hours per week

🏖️ Benefits

• Stock options • Paid parental leave • Office setup • Co-working allowances • Flexible work arrangement with no core hours • Global all-hands meetup and team retreat travel • Equal work opportunities and accessible hiring accommodations

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