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Senior Product Data Scientist Jobs (NOW HIRING)

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as the analytical engine for our Product Management team and own our most important product analytics ...

VAST Data

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94K - $119K/yr

Description VAST Data is looking for a Senior Product Data Analyst to join our growing team! This ... Masters degree in Business, Business Analytics Operations Management, Computer Science, Data ...

AlphaSense

Sr. Product Data Scientist

Manhattan, NY · On-site

They are looking for a Sr. Product Data Scientist to bridge raw data with strategic product decisions, focusing on deep product analysis and AI-driven data democratization. Responsibilities : • Be ...

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as the analytical engine for our Product Management team and own our most important product analytics ...

Municipal Credit Union

Product Data Scientist

Manhattan, NY · On-site

$106K - $180K/yr

Reporting to the Director of Strategic Insights, the Product Data Scientist will be responsible for ... Using both structured and unstructured data, this senior analyst will be responsible for applying a ...

Calliere

Product Data Scientist

Manhattan, NY · Hybrid

Product Data Scientist \n \n \n \n \n \n We're hiring a Product Data Scientist to own the ... Competitive base salary aligned with senior individual\-contributor data roles in fintech, plus ...

Clair

Product Data Scientist

New York, NY · On-site

$190K - $200K/yr

Learn more about us at getclair.com/about About the Role As a Product Data Scientist at Clair, you'll own the experimentation and analytics layer that drives our product and underwriting decisions.

In Tandem

Product Data Scientist

Minneapolis, MN · On-site

$100K - $140K/yr

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 ...

Calliere

Product Data Scientist

New York, NY · Hybrid

Product Data Scientist We're hiring a Product Data Scientist to own the measurement ... Competitive base salary aligned with senior individual-contributor data roles in fintech, plus ...

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Senior Product Data Scientist information

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

As of Jul 30, 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 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 are the key skills and qualifications needed to thrive as a Senior Product Data Scientist, and why are they important?

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 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 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 Product Data Scientist, Pixel

Google

Mountain View, CA • On-site

Full-time

Posted 27 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

51st of 246 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Senior Product Data Scientist to join the Pixel Data Science team. In this role, you will leverage data and advanced statistical modeling to drive critical product decisions and optimize performance for Google Pixel products.
Responsibilities:
• Partner cross-functionally with Product Management, Strategy, Marketing, Sales, and Executive teams to translate complex business and product challenges into analytical solutions.
• Perform in-depth analyses and experiment design across key Pixel product areas, including camera, Gemini, and AI features, to identify strategic improvement opportunities.
• Build predictive and causal models to understand user engagement, churn, and loyalty patterns across the Pixel ecosystem.
• Develop and maintain end-to-end data pipelines, predictive workflows, and automated analytical dashboards to track and report on key performance indicators at scale.
• Mentor junior data scientists and lead the development of AI agents and custom analytical tools to scale team capabilities.
Qualifications:
Required:
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of work experience with a Master's degree.
• Experience consulting, and applying statistical modeling or machine learning techniques to product or business problems.
Preferred:
• Master's degree in Statistics, Mathematics, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Experience presenting analytical findings and strategic narratives to executive leadership and cross-functional stakeholders.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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