← Back to all roles in United States

Posted by the employer · San Francisco, United States

Senior Data Scientist - Product Analytics

Gallup · San Francisco · United States

$175,000–$200,000 per yearData Scientist

Posted: 8/14/2026 · On the employer's job feed since 10/11/2026

The advert

Quoted in full from Gallup's job posting. Gavroche does not edit it.

Shape product road maps and strategies with data-driven analytics and insights.

As a senior 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 four years of experience in product analytics or data science required; eight or more years of experience preferred
  • 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
  • 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. 

Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $175,000-$200,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.

Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.

To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.

#LI-Hybrid

#LI-KW1

Similar roles in San Francisco

200 open data scientist roles found; at most three per employer shown. Source: Direct employer job feeds (ATS) and career sites crawled by gavroche-direct.

What data scientist adverts in San Francisco state

Middle half: 187,125 – 268,462 USD a year; median 236,250 USD.

From 54 adverts by 26 employers that state a salary (annualised). Source: Direct employer job feeds (ATS) and career sites crawled by gavroche-direct; salaries read from the adverts' own text.

How data scientist roles in United States are worked

8% fully remote · 2% hybrid · 90% on-site

From 91 adverts whose ATS states a work mode. Source: Direct employer job feeds (ATS) and career sites crawled by gavroche-direct; the employers' own work-mode flags (adverts without one count as on-site).

New roles in San Francisco, last 12 weeks

  1. 7/20/2026 99
  2. 7/27/2026 110
  3. 8/3/2026 130
  4. 8/10/2026 175
  5. 8/17/2026 172
  6. 8/24/2026 170
  7. 8/31/2026 250
  8. 9/7/2026 240
  9. 9/14/2026 285
  10. 9/21/2026 343
  11. 9/28/2026 336
  12. 10/5/2026 299
  13. 10/12/2026 30

2639 vacancies. Source: Direct employer job feeds (ATS) and career sites crawled by gavroche-direct; vacancies by their own publication week.

Other roles at Gallup

16 open. Source: Direct employer job feeds (ATS) and career sites crawled by gavroche-direct.