About the Role
Role details below.
Responsibilities
- Drive product and business impact through statistical modeling, experiment design, and classifier implementation across search engine, instant answers, AI, and revenue optimization.
- Collaborate cross-functionally to validate direction through data.
- Build trust in organizational tactics and strategy by running and advising experiments.
- Become an expert in core metrics like searches, installs, and revenue.
- Own key pieces of the data pipeline.
- Identify and resolve data integrity issues.
- Implement derived data features for internal users.
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 ML and NLP solutions in production environments.
- Working knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development.
- Proficiency in writing 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.
- Ability to design, implement, and analyze experiments across product surfaces.
- Comfortable deriving insights from sparse or privacy-constrained data.
- Effective collaboration with product teams and contribution to overall team throughput.
Nice to Have
- Experience with a BI tool like Tableau or PowerBI.
Benefits
- Compensation of $178,500 USD annually and stock options.
- Compensation is identical within professional levels regardless of geographic location or team.
- Compensation for each professional level is transparent across the organization.
- Eligibility for company-sponsored health benefits (limited to team members based in the United States).
- Paid parental leave.
- Office setup allowance.
- Co-working allowance.
Compensation
$178,500 USD annually. Equity: Stock options
Team
Team size: 300+. Structure: Remote-first team operating under a culture of trust, inclusivity, and empowered project management where each member takes full ownership of their projects.
Additional Information
- You’ll be required to attend meetings on camera via video conferencing.
- Expect to travel at least two times a year: once for an all-hands meetup and once for a team retreat (each around 4-5 days). Attendance is strongly encouraged.
- Flexible work arrangement with no core hours, but an average full-time commitment of 40 hours per week is expected.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying, you confirm that all submitted information is accurate and complete.
- Providing false or fraudulent information during the application process may result in denial of an offer, revocation of an existing offer, or termination after commencement.
- AI is used in the hiring process to assist in reviewing and summarizing job applications and test projects, flagging potentially fraudulent applications, analyzing experience, interviews, and project performance.
- Final hiring decisions are made by the hiring team with human oversight; AI is used only to support decision-making.
- Applicants may request an alternative selection process by contacting careers@duckduckgo.com.
