Gallup
Market Research
Senior/StaffDataScientist,ProductAnalytics
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“Senior/Staff Data Scientist, Product Analytics at Gallup. Skills: Product analytics, Data science, Machine learning, Experimentation. Partner with product teams early in discovery. Define and govern success metrics”
What You'll Achieve.
Turn goals into measurable outcomes; Enable self-serve decision-making; Assess the impact of new features; Confirm whether outcomes match expectations; Ensure reliable, analysis-ready data
Industry & Context.
Proactive problem-solving; Anticipate issues; Anticipate opportunities; Translate analysis into action; Rapidly drive improvements; Persistent resourcefulness; Create clarity from ambiguity; Connect distributed data; Validate data quality; Deliver insights; Solve complex problems; Experimentation judgment; Choose rigorous alternatives
Commitment to working on-site at Gallup’s San Francisco office at least three days per week
What They're Looking For.
Must Have
Bachelor's degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, At least five years of experience in product analytics or data science, At least five years of experience with SQL for analysis in modern data environments, At least five years of experience with Python and data science tool kits, Experience leading data-driven projects end to end, Statistical intuition, analytical rigor, and experience validating data and performing quality checks, High fluency with MPP databases such as Snowflake or Redshift
Nice to Have
Eight or more years of experience preferred, Some data engineering or instrumentation experience preferred, PhD preferred
What You'll Do.
Partner with product teams early in discovery
Define and govern success metrics
Build trusted metric definitions
Design and evaluate product experiments
Assess impact of new features
Assess impact of onboarding changes
Assess impact of product improvements
Serve as a thought partner to product managers
Pressure-test hypotheses
Confirm outcomes match expectations
Translate analysis into action
Communicate recommendations to stakeholders
Improve analytics readiness
Partner with data platform and engineering teams
Scale product analytics
Contribute to best practices
Contribute to frameworks
Contribute to repeatable ways of working
How You'll Work.
Team & Collaboration
Product managers; Engineers; Designers; Product teams; Data platform teams; Engineering teams; Design; Research; Operations teams
Communication Scope
Expert data storytelling; Explain trends; Explain uncertainty; Explain limitations; Deliver recommendations
Process & Methodology
Road map discussions, Launch planning, Data-driven projects
Full Job Description
Shape product road maps and strategies with data-driven analytics and insights. As a senior/staff data scientist focused on product analytics for our Technology team, you’ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance. We’re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making. At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we’d love to hear from you. What You’ll Do Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working What Makes You Stand Out Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience. Persistent resourcefulness: You independently create clarity fr
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