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Senior Product Data Scientist Jobs (NOW HIRING)

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Lead Product Data Scientist

San Francisco, CA · On-site

$186.10 - $300.55/hr

... roadmap recommendations for senior leadership and product managers * Design rigorous ... or data science within a SaaS/Cloud environment * Experience mapping holistic user journeys by ...

Docusign

Lead Product Data Scientist

San Francisco, CA · On-site

... senior leadership and product managers * Design rigorous experimentation frameworks that move ... or data science within a SaaS/Cloud environment * Experience mapping holistic user journeys by ...

Robinhood

$179 - $210/hr

We work closely with partners in Product, Paid Media, and Lifecycle Marketing to improve how we acquire users, keep them engaged, and grow their value over time. As a Senior Data Scientist, Product ...

Robinhood

Senior Data Scientist, Product

Menlo Park, CA · On-site

$179 - $210/hr

We work closely with partners in Product, Paid Media, and Lifecycle Marketing to improve how we acquire users, keep them engaged, and grow their value over time. As a Senior Data Scientist, Product ...

Robinhood

Senior Data Scientist, Product

Menlo Park, CA · On-site

$179K - $210K/yr

We work closely with partners in Product, Paid Media, and Lifecycle Marketing to improve how we acquire users, keep them engaged, and grow their value over time. As a Senior Data Scientist, Product ...

Oscar Health

Senior Data Scientist

New York, NY · On-site

$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 ...

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 ...

Hertz

Sr Product Data Analyst

Atlanta, GA · On-site

$105K/yr

Description At Hertz, our senior product data analysts are responsible for developing and defining ... A bachelor's degree or higher in Computer Science, or other quantitative discipline such as ...

Socket.dev

Product Data Scientist, Geo

Mountain View, CA · On-site

$138 - $197/hr

Geo Data Science (DS) Data and Contributions operates within the centralized Geo Data Science team. In this role, you will be collaborating closely with Product Managers, Engineers, Program Managers ...

Apollo.io

Senior Data Scientist - Product

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing ...

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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 Aug 23, 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

Staff Product Data Scientist, Lending

Block, Inc

New York, NY • On-site

Full-time

Re-posted 3 days ago

Block rating

7.9

Company rating: 7.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

9th of 21 rated payment service providers

Job description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Lending team powers decisioning behind Cash App Borrow, Afterpay, Square Loans, and the next generation of first-party credit products.
We're looking for a Product Data Scientist to help build, measure, and improve credit products that serve customers traditional credit systems often miss. You'll partner closely with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and turn ambiguous product questions into clear decisions.
This is an agentic data science role. You'll use AI tools and agent workflows to move faster and think more rigorously across the full data science loop: exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions.
You Will
  • Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners
  • Use AI tools and agent workflows to improve both the speed and quality of analytical work, from accelerating exploration and automating repetitive tasks to generating hypotheses and stress-testing conclusions
  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
  • Define and maintain measurement frameworks for credit products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, and long-term customer outcomes
  • Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact
  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
  • Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria
  • 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 team - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others.
  • Drive localized cross-team impact by connecting measurement and insights across Lending products (Borrow, Afterpay, Square Loans) and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy.
  • Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations

You Have
  • A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and experience building clear, decision-oriented data visualizations
  • Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions
  • Experience using AI tools to improve the speed, quality, and durability of analytical work

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$239,600 - $359,400 USD
Zone B:
$239,600 - $359,400 USD
Zone C:
$239,600 - $359,400 USD
Zone D:
$239,600 - $359,400 USD
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

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