ZipRecruiter

Log In

1

Product Data Scientist Jobs (NOW HIRING)

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 analyzing disparate data sources to provide recommendations that guide MCU's member-centric growth ...

Wispr Flow

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 ...

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

$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 ...

AvePoint

Senior Product Data Scientist

Jersey City, NJ

$120K - $180K/yr

We are seeking a Senior Product Data Scientist to join our data analytics team and drive data-informed decisions and enabling product-led-growth for our B2B SaaS products. This role will focus on ...

AvePoint

Senior Product Data Scientist

Jersey City, NJ · On-site

$120K - $180K/yr

We are seeking a Senior Product Data Scientist to join our data analytics team and drive data-informed decisions and enabling product-led-growth for our B2B SaaS products. This role will focus on ...

In Tandem

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location: Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

Uber

Product Data Scientist, Payments

San Francisco, CA · On-site

You will work with product managers, engineers and fellow data scientists to shape the direction of one or more products within Payments. You will work on fast-moving, high-stakes problems reaching a ...

Uber

Product Data Scientist, Payments

San Francisco, CA · On-site +1

You will work with product managers, engineers and fellow data scientists to shape the direction of one or more products within Payments. You will work on fast-moving, high-stakes problems reaching a ...

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 ...

next page

Showing results 1-20

All JobsProduct Data Scientist Jobs

Product Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do product data scientist jobs pay per year?

As of Jun 26, 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.

Which is better, DS or CS?

For a Product Data Scientist, both Data Science (DS) and Computer Science (CS) backgrounds provide valuable skills. DS emphasizes data analysis, modeling, and statistical techniques, while CS focuses on algorithms, programming, and software development. The choice depends on the specific role requirements and the company's focus, but strong programming skills and knowledge of data tools are essential in both fields.

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.

Is 40 too late for data science?

Product Data Scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or SQL. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What does a product data scientist do?

A product data scientist analyzes data related to a company's products to improve user experience, optimize features, and drive business decisions. They use statistical methods, machine learning, and data visualization tools to interpret large datasets and provide actionable insights. Strong programming skills in languages like Python or R and familiarity with data platforms are essential for this role.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Product Data Scientists often use this rule to prioritize data analysis and feature selection, focusing on the most impactful variables to improve model performance efficiently.

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.

More about Product Data Scientist jobs
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:
What job categories do people searching Product Data Scientist jobs look for? The top searched job categories for Product Data Scientist jobs are:
Product Data Scientist jobs near you
Infographic showing various Product Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% 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

$106K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

About MCU:

At Municipal Credit Union, we believe that an incredible culture helps create a happy and motivated team that works hard to achieve the best results for themselves and their members. For more than 100 years, MCU has provided affordable financial products and convenient services to a membership base that is now comprised of over 600,000 individuals. With each new generation we have the pleasure of interacting with, we maintain the credit union promise of people helping people.

Our Mission:

To help hard-working New Yorkers build better tomorrows

Our Vision:

Be New York's most loved financial institution by helping our members build their best financial futures

Overview:

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 strategy. Using both structured and unstructured data, this senior analyst will be responsible for applying a variety of analytic techniques, including econometric and machine learning models, to uncover growth segments, guide product development, and support personalization efforts. The analyst will help develop clear, actionable recommendations and deliver results to senior leaders.


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.




Requirements:


  • 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.


Why you'll be a good fit:

Our Core Values are an integral part of who we are and who we hire. By living our Core Values, every day, we continue to attract the best and brightest talent, achieve unsurpassed results and continuously challenge ourselves to be better than yesterday. These values are at the heart of our organization and within every teammate. To be a great fit, you’ll bring the following

Results - We are passionate about winning.

Agility - We proactively anticipate, respond and pivot to ensure MCU wins.

Integrity - We operate with the highest ethical standards and highest degree of honesty.

Belonging - We cultivate a culture of inclusion and teamwork.

Ownership - We take personal responsibility and hold ourselves accountable for the results.


Why You’ll Love Working Here:

The pay range for this position is between $106,300-180,090 annually. Actual base pay offered may vary depending on a number of factors such as job-related knowledge, skills, experience, and location. Employees in this position may also be eligible for a discretionary bonus, 401(k) with an 6% employer match per pay period. Benefits for this position include Medical, vision, dental, life, and disability insurance, flexible paid time off and 11 paid holidays annually.

Municipal Credit Union (MCU) is an Equal Opportunity Employer. Municipal Credit Union provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state or local laws.

We are committed to hiring, training, cultivating, promoting, and celebrating an environment where we have a welcoming and fulfilling place for all people to call home. Diversity of race, thought, sexual orientation, age, veteran status, religion, and disability will empower us to thrive as individuals, as teams, and as an organization.