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 from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems.
- Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations.
- Experimentation judgment: You know when A/B tests are feasible and when they aren’t, and you can choose rigorous alternatives to answer product questions.
- Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on.
- Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights.
What You Need
- Bachelor’s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required
- At least five years of experience in product analytics or data science required; eight or more years of experience preferred
- At least five years of experience with SQL for analysis in modern data environments required
- At least five years of experience with Python and data science tool kits (e.g., pandas) required
- Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required
- Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required
- High fluency with MPP databases such as Snowflake or Redshift required
- Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred
- A commitment to working on-site at Gallup’s San Francisco office at least three days per week required
About Gallup
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.