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Senior Product Data Scientist Jobs (NOW HIRING)

Intuit

Senior Data Scientist

Mountain View, CA

$162K - $220K/yr

This is a high-impact role where your work will directly influence product, marketing, and business model strategies. * As a Senior Data Scientist, you will own end-to-end delivery of the metrics ...

Intuit

Senior Data Scientist

Mountain View, CA

$162K - $220K/yr

This is a high-impact role where your work will directly influence product, marketing, and business model strategies. * As a Senior Data Scientist, you will own end-to-end delivery of the metrics ...

Intuit

Senior Data Scientist

Mountain View, CA · On-site

$162K - $220K/yr

This is a high-impact role where your work will directly influence product, marketing, and business model strategies. * As a Senior Data Scientist, you will own end-to-end delivery of the metrics ...

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers * Lead technical direction and standards for the Block Data Science ...

Snowflake

Senior Data Scientist - Product

Menlo Park, CA · On-site

$168K - $220K/yr

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our ...

In Tandem, Llc

Product Data Scientist

Minneapolis, MN · Remote

As our Product Data Scientist , you'll bring rigorous behavior analysis and predictive modeling to how our apps understand and serve our members - partnering closely with Product and Finance to turn ...

Team Velocity Marketing

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ...

Hertz

Sr Product Data Analyst

Atlanta, GA · On-site

... Senior Product Data Analyst. The role involves developing analytic best practices to generate ... Computer Science, or other quantitative discipline such as statistics, mathematics, physics or ...

Oscar Health

Senior Data Scientist

New York, NY · Hybrid

$163K - $215K/yr

We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance ... Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical ...

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Senior Product Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior product data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior product data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior product data scientist do?

A Senior Product Data Scientist is responsible for analyzing and interpreting complex data to help guide product decisions and strategy within a company. They work closely with product managers, engineers, and designers to identify key metrics, run experiments, and provide actionable insights that improve user experience and business outcomes. Their role often involves building predictive models, running A/B tests, and communicating findings to stakeholders. Senior Product Data Scientists also mentor junior team members and help establish best practices for data analysis across the organization.

What are the key skills and qualifications needed to thrive as a senior product data scientist?

To thrive as a Senior Product Data Scientist, you need advanced skills in statistical analysis, machine learning, data visualization, and a strong foundation in computer science or a related quantitative field, often supported by a master's or PhD. Proficiency with Python, SQL, data analytics platforms (such as Tableau or Looker), and experience with cloud computing tools or big data frameworks is typically required. Exceptional problem-solving abilities, business acumen, and strong communication skills help translate complex data insights into actionable product strategies. These skills ensure that data-driven decisions effectively drive product growth, innovation, and cross-functional alignment.

How does a senior product data scientist typically collaborate with product managers and engineering teams?

Senior Product Data Scientists play a key role in bridging the gap between data insights and product development. They work closely with product managers to define success metrics, prioritize features based on data-driven evidence, and develop experiments to validate product changes. Their collaboration with engineering teams often involves specifying data requirements, ensuring proper data instrumentation, and translating analytical findings into actionable recommendations. This cross-functional teamwork is essential for building impactful, user-centered products and driving continuous improvement.

What is the difference between Senior Product Data Scientist vs Data Analyst?

AspectSenior Product Data ScientistData Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's degree in related field; proficiency in data visualization and basic analysis
Work EnvironmentCollaborates with product teams, engineers, and stakeholders on complex data projectsSupports business decisions through data reporting and basic analysis
Industry UsageCommon in tech, e-commerce, and SaaS companiesWidely used across various industries including retail, finance, and healthcare

The main difference between a Senior Product Data Scientist and a Data Analyst lies in the complexity of tasks and required expertise. Senior Product Data Scientists handle advanced modeling and predictive analytics to inform product strategies, while Data Analysts focus on reporting and descriptive analysis. Both roles are essential but serve different levels of data maturity within organizations.

What cities are hiring for Senior Product Data Scientist jobs?

Cities with the most Senior Product Data Scientist job openings:

What are the most commonly searched types of Product Data Scientist jobs?

The most popular types of Product Data Scientist jobs are:

What states have the most Senior Product Data Scientist jobs?

States with the most job openings for Senior Product Data Scientist jobs include:

Senior Product Data Scientist jobs near you

Senior Data Scientist

Intuit

Mountain View, CA

$162K - $220K/yr

Full-time

Re-posted 7 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies

Job description

Overview

  • We are seeking a Senior Data Scientist to join our Business Strategy Data Science Team. This role is focused on growth across Intuit's consumer ecosystem of TurboTax and Credit Karma, with an emphasis on the data foundations and measurement that power our cross-product business model. This is a high-impact role where your work will directly influence product, marketing, and business model strategies.

 

  • As a Senior Data Scientist, you will own end-to-end delivery of the metrics, data products, and analyses that leaders across product, finance, and marketing rely on to understand and grow the ecosystem. You will design and productionize trusted cross-product data foundations, measure the incremental impact of ecosystem initiatives, and build AI-native analytics tooling that scales your insights across the organization. This is a unique opportunity to apply your passion for data and rigorous measurement to shape the future of financial empowerment for millions of users.


Responsibilities

  • Ecosystem Measurement: Define, build, and productionize the core metrics of the consumer ecosystem (revenue, ARPC/ARPU, monthly active users, LTV, retention, and cross-product migration), ensuring alignment with company objectives and powering executive and corporate finance reporting.

  • Data Foundations: Design and ship certified, production-grade data products — including cross-product customer identity resolution — that serve as the endorsed source of truth for ecosystem analytics across data science, finance, and product teams.

  • Experimentation: Design, implement, and analyze A/B tests of cross-product initiatives, including custom cross-product outcome metrics and automated experiment reporting.

  • AI-Native Analytics: Build and maintain agentic analytics tooling (skills, plugins, and self-serve data access) that enables stakeholders and fellow data scientists to reliably answer ecosystem questions, and drive its adoption across the organization.

  • Data Stewardship: Handle regulated tax and cross-company data with rigor, ensuring data products and analyses respect privacy, consent, and compliance boundaries.

  • Communication: Translate complex technical findings into clear, actionable insights for senior leadership, including product, finance, and marketing executives.


Qualifications

  • A Bachelor's degree in Statistics, Economics, Computer Science, or a related quantitative field is required. Advanced degrees are desirable.

  • At least 3 years of experience applying data science, statistical modeling, and analytics engineering skills to business decision making.

  • Expert proficiency in SQL and a programming language such as Python and/or R, including experience with large-scale distributed data platforms (e.g., Spark/Databricks, BigQuery) and production data pipeline and workflow tooling.

  • A demonstrated track record of designing, shipping, and maintaining production data products and business metrics adopted by finance and executive stakeholders.

  • Experience building with modern AI tooling — agentic workflows, LLM-based analytics tools, or similar — is strongly preferred.

  • A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business.

  • Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues.


Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 

The expected base pay range for this position is:
Mountain View $162,500 - $220,000

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