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Gallup

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Senior Data Scientist, Product Analytics

Summary

Senior data scientist partners with product teams to define metrics, run experiments, and analyze user behavior to shape product road maps and validate feature impact using SQL, Python, and Snowflake.

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: . 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.

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First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • Preferred First Name optional
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  • Have you completed an application for any other opportunities at Gallup within the last 2 years? choose one
  • If you were referred by a Gallup associate, please provide their name. optional
  • Please indicate which languages you speak in addition to English: choose any · optional
  • Please indicate your highest completed level of education. choose one
  • How many years of professional experience do you have in product analytics or data science? choose one
  • How many years of professional experience do you have with SQL for analysis in modern data environments? choose one
  • How many years of professional experience do you have working with Python and data science tool kits (e.g., pandas)? choose one
  • Do you have experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights? choose one
  • Please rate your level of fluency with MPP databases such as Snowflake or Redshift: choose one
  • Do you have experience in data engineering or instrumentation (pipelines, event tracking, modeling)? choose one
  • Will you be able to work on-site in San Francisco at least three days a week? choose one
  • What are your career plans? written answer
  • What are your total annual salary requirements, including bonus or other forms of compensation? Please include a specific number or range.
  • Are you legally authorized to work in the United States? choose one
  • Do you currently have temporary work authorization (such as F-1, OPT, CPT, H-1B or similar)? choose one
  • Will you now or in the future require Gallup to provide work visa sponsorship for you to maintain your employment eligibility? choose one
  • Have you ever been employed by Gallup before? choose one
  • Are you a U.S. federal government, foreign government, or United Nations employee, or have you worked for the U.S. federal government, foreign government, or United Nations in the past 24 months? choose one
  • If you are a present or former employee of the US Government in the past 24 months, have you acted for or advised with respect to a Federal agency procurement, or have you had access to procurement bid, proposal information, or source selection information on a project Gallup was or is bidding on, or have you worked on any project where Gallup was providing services to your federal agency? choose one
  • Would you like to opt in to receive text messages from Gallup related to the hiring process for this role, such as interview scheduling, reminders, or time-sensitive updates? choose one
  • The application statement shall constitute a part of any employment application I may submit to Gallup. I understand that I will be subject to dismissal if anything is found to be false. I understand that nothing contained in the employment or in the granting of any interview is intended to create an employment contract between Gallup and myself for either employment or for the providing of any benefit. I understand that no promises regarding employment have been made to me. I understand that if I am employed by Gallup, I will enter into a separate employment contract, the terms and conditions of which will govern my employment. This understanding cannot be changed except in writing by an authorized Gallup official. Gallup’s rights as explained in this form shall not be modified or limited to an oral representation by any Gallup representative, or by any written provisions contained in any Gallup literature, newspaper or other advertisement, policy manual, or employment guidelines. choose one

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