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Product Data Scientist Jobs (NOW HIRING)

Harvey

Data Scientist, Product

San Francisco, CA · On-site

$155K - $260K/yr

Role Overview As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner ...

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

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 ...

Unchain Data

Data Scientist, Product

Manhattan, NY · On-site

$179 - $210/hr

As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design ...

New

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 ...

Unchain Data

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

At Kalshi, Data Scientists sit at the center of the company and are embedded across Product, Finance, Marketing, Platform, and more. You'll combine analytical depth, technical skill, and business ...

New

Find Data Science

Data Scientist

San Francisco, CA

As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative ...

New

OpenAI

Data Scientist, Product

Seattle, WA · On-site

$230K - $385K/yr

About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as ...

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 ...

Descript

Lead Data Scientist, Product

San Francisco, CA · On-site

$200K - $250K/yr

As a founding product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You'll Do

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Product Data Scientist information

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$46K

$165K

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How much do product data scientist jobs pay per year?

As of Aug 7, 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 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 a product data scientist still in demand?

Product data scientists are currently in high demand as companies rely on data-driven decision-making to improve products and user experiences. Skills in machine learning, statistical analysis, and tools like SQL and Python are highly valued in this role across various industries.

What is the difference between a data scientist and a product data scientist?

A product data scientist specializes in analyzing data related to a company's products, focusing on improving user experience, product features, and business outcomes. While a general data scientist may work across various domains, a product data scientist often collaborates closely with product teams and uses tools like SQL, Python, and analytics platforms to inform product decisions.

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 knowledge of product metrics are essential for this role.

What is a product data scientist?

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. 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.

Data Scientist, Product

Harvey

San Francisco, CA • On-site

$155K - $260K/yr

Full-time

Re-posted 19 days ago

Job description

Why Harvey
At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today - and we're just getting started.
Role Overview
As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment.
This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.
What You'll Do
  • Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.
  • Define and maintain core metrics that create a shared understanding of product performance and customer value.
  • Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.
  • Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.
  • Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.
  • Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.
  • Translate complex analyses into clear recommendations for technical, business, and executive audiences.
  • Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.
  • Establish the standards, practices, and culture for Product Data Science at Harvey.
What You Have
  • 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.
  • A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.
  • Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.
  • Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.
  • Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.
  • Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.
  • Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.

Bonus
  • Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
  • Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.
  • Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.
  • Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.

Compensation
$155,000 - $260,000
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-SB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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