Gallup
Senior Data Scientist, Product Analytics
San Francisco · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level IV starts at $206,565 — $31,565 above the bottom of this range, and above its posted ceiling.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Shape product road maps and strategies with data-driven analytics and insights.
- Learn more about our work and life at Gallup.
- We also offer an estimated annual salary range of $175,000-$200,000 for this role.
Responsibilities
- 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
- and what stakeholders, leaders and partners should do next
- 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.
- Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next
- Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on.
Requirements
- Bachelor's degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required
- At least four years of experience with SQL for analysis in modern data environments required
- At least four 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
- 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.
Nice to have
- At least four years of experience in product analytics or data science required
- eight or more years of experience preferred
- Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred
Compensation
- We also offer an estimated annual salary range of $175,000-$200,000 for this role.
Company info
- What Makes You Stand Out
- At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind.
This listing is sourced directly from Gallup's careers page and normalized into a canonical job model.