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Product Data Scientist Jobs (NOW HIRING)

Product Data Scientist

Manhattan, NY · On-site

$106.30K - $180.09K/yr

Reporting to the Director of Strategic Insights, the Product Data Scientist will be responsible for analyzing disparate data sources to provide recommendations that guide MCU's member-centric growth ...

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.

Product Data Scientist

San Francisco, CA · On-site

$175K - $195K/yr

We're looking for a Product Data Scientist to be the analytical backbone of our product and growth team. You'll work directly alongside PMs, engineers, and our analytics team to turn data into ...

This is a highly autonomous, product-focused role. You'll partner with Product, Data, and ... Perform as a Sr. Data Scientist by leading execution and technical planning within the organization ...

This is a highly autonomous, product-focused role. You'll partner with Product, Data, and ... Perform as a Sr. Data Scientist by leading execution and technical planning within the organization ...

Data Scientist Location: New York On-site | Full-time Compensation: Competitive Our client is a ... Partner directly with product and engineering teams to implement data-driven solutions and ensure ...

Data Scientist Location: New York On-site Full-time Compensation: Competitive Our client is a high ... Partner directly with product and engineering teams to implement data-driven solutions and ensure ...

Data Scientist Location: New York On-site | Full-time Compensation: Competitive Our client is a ... Partner directly with product and engineering teams to implement data-driven solutions and ensure ...

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Product Data Scientist information

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$46K

$165K

$243.5K

How much do product data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for product data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Product Data Scientist job?

A Product Data Scientist focuses on using data to analyze and improve a product’s performance, user experience, and business impact. They work closely with product managers, engineers, and designers to generate insights that drive product decisions. Their responsibilities often include A/B testing, user behavior analysis, and developing data-driven recommendations to enhance user engagement and retention. This role requires strong analytical skills, proficiency in statistical methods, and expertise in data tools like SQL and Python.

What are the key skills and qualifications needed to thrive in the Product Data Scientist position, and why are they important?

To thrive as a Product Data Scientist, you need strong skills in data analysis, statistical modeling, and a deep understanding of product lifecycle metrics, usually supported by a degree in data science, statistics, or a related field. Familiarity with tools such as Python, SQL, Tableau, and advanced analytics platforms, as well as experience with A/B testing frameworks, is highly valued. Excellent communication, business acumen, and cross-functional teamwork are essential soft skills in this role. These capabilities enable data-driven decision-making and ensure that product development initiatives are optimized for user engagement and business impact.

What are typical daily responsibilities for a Product Data Scientist?

Product Data Scientists often spend their days analyzing user behavior data, designing experiments such as A/B tests, and developing predictive models to inform product decisions. They collaborate closely with product managers, engineers, and designers to translate data insights into actionable recommendations that improve the product experience. Additionally, they present findings to stakeholders, monitor product metrics, and iterate on analyses as new data becomes available. This dynamic role requires both technical rigor and strong communication to drive data-informed strategies across product teams.
What cities are hiring for Product Data Scientist jobs? Cities with the most 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 Product Data Scientist jobs? States with the most job openings for Product Data Scientist jobs include:
Infographic showing various Product Data Scientist job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 20% Physical, 16% Hybrid, and 64% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Product Data Scientist

Product Data Scientist

Municipal Credit Union

Manhattan, NY • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Municipal Credit Union is a financial institution dedicated to helping New Yorkers build better tomorrows. The Product Data Scientist will analyze various data sources to provide recommendations that support member-centric growth strategies, utilizing econometric and machine learning models to inform product development and personalization efforts.
Responsibilities:
• Identity and prepare structured and unstructured data for analysis
• Conduct in-depth analysis to inform product development, member segments and personalization efforts
• Develop econometric and machine learning models to drive insights and support growth
• Work with business partners and the Director of Strategic Insights to identify and prioritize projects with the greatest potential for impact.
• Translate analysis results into business-oriented action items
• Communicate results to marketing and other business leaders
• Develop processes and methods for tracking impact of recommendations
• Serve as a ‘data end user’ SME to identify areas of improvement for data processes and systems
• Partner with marketing to evaluate and optimize campaign performance, leveraging product and member data to improve targeting, conversion, and ROI.
• Onboard, train, and provide ongoing guidance for analysts ensuring consistency in analytics processes, data interpretation, and reporting standards.
• Serve as a cross-functional analytics resource for initiatives that span across the marketing and product division
• Perform other related duties as assigned.
Qualifications:
Required:
• Bachelor’s degree (Master’s Preferred) in Math, Statistics, Data Science, Engineering, or another quantitative field
• 5+ years in an analytical position, including experience with modeling, A/B testing, causal inference, or other advanced techniques. Experience in financial services preferred.
• Proven ability to aggregate and synthesize larger data sets from multiple sources
• Proficiency with Python, R, or other analytic language.
• Proficiency with SQL, including CTEs and window functions
• Proficiency with Power BI, Tableau, or other BI tools.
• Strong presentation skills and ability to communicate complex ideas simply
• Strong reporting, decision making, analytical and problem-solving skills. Highly flexible and able to quickly adapt to changing priorities.
• Ability to perform in a high-volume environment and meet deadlines while maintaining exceptional attention to detail.
Preferred:
• Experience in financial services preferred.
Company:
Municipal Credit Union has been serving the financial needs of our members since 1916. Founded in 1916, the company is headquartered in New York, USA, with a team of 501-1000 employees. The company is currently Late Stage.