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Staff Data Scientist, Ads

Data Scientist Full-time United States

Job details

Not specified Salary
United States Eligibility
Staff Experience
Full-time Employment

About this role

Role overview Partner with teams across an advertising business to identify important questions, build the analysis needed to answer them, and guide decisions with clear evidence. This senior individual contributor role combines hands-on data science with business judgment: you’ll work on measurement for evolving products, assess revenue and performance, and communicate findings to both technical partners and executives. The work calls for navigating ambiguity while balancing advertising growth with the user experience and privacy expectations of the product.

Responsibilities - Serve as a lead data science partner to product, engineering, sales, finance, and senior leadership. - Frame and own complex analytical work from the initial business question through validation, recommendations, and follow-through. - Establish measurement approaches for new and changing advertising products, including metrics, experiments, instrumentation, and reporting. - Analyze revenue and performance to identify drivers, assess opportunities and trade-offs, and inform business and product choices. - Explain findings, assumptions, and uncertainty in ways that support decisions across technical and executive audiences.

Requirements - At least eight years in data science, analytics, or an applied quantitative role, with ownership of complex, business-critical work. - Experience in digital advertising or a related monetization business, and understanding of how product, user, advertiser, and revenue outcomes connect. - Strong Python and SQL skills, with experience applying statistical, experimental, forecasting, and analytical methods to business problems. - Sound technical and business judgment, plus the ability to work through ambiguous problems and communicate recommendations clearly.

Benefits and work setup - Remote work in the United States. - Flexible work arrangements; most staff work remotely. - Paid parental leave, professional development reimbursement, and a choice of work hardware and software are described.

Skills detected in the listing

PythonSQL
Detected Nov 5, 2026
Last verified Nov 12, 2026

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