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Data Science Product Manager Jobs (NOW HIRING)

This role is ideal for someone who thrives at the intersection of data science, product innovation ... Lead strategic product enhancements , including defining project plans, managing timelines, and ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross ... Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the ...

Data Scientist, Product

San Francisco, CA · On-site

$155K - $260K/yr

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 ...

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Data Science Product Manager information

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$51.5K

$159.4K

$197K

How much do data science product manager jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data science product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
More about Data Science Product Manager jobs
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What states have the most Data Science Product Manager jobs? States with the most job openings for Data Science Product Manager jobs include:
What job categories do people searching Data Science Product Manager jobs look for? The top searched job categories for Data Science Product Manager jobs are:
Product Manager, Services Data Science & Analytics

Product Manager, Services Data Science & Analytics

Apple

Culver City, CA

$172K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 7 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Are you ready to make a significant impact on how one of the world's largest analytics organizations sees and interacts with its data? If you are passionate about building intelligent, AI-native data products that turn complex data into clear, trustworthy answers, we would love for you to apply!
The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking - we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.
Description
As a Product Manager on the Data Applications team, you will own products that turn Apple Services data into answers our stakeholders can trust. You will set product direction, partner closely with design and engineering, and be accountable for the quality, reliability, and business impact of what reaches product, business, and executive partners across the organization.
These products are increasingly AI-native. You will shape how people get answers, where intelligent, context-aware experiences understand intent and do more of the work, and where a well-built report or a simpler path serves people better. You will translate complex, often time-sensitive needs from across the organization into products that are clear, reliable, and genuinely useful, without requiring people to be data experts to benefit from them.
","responsibilities":"You will collaborate closely with cross-functional leaders across product, design, engineering, and business teams, bringing clarity to ambiguous problems and keeping the work tied to real outcomes.
Over time, you will help shape how the Services Data Science & Analytics organization thinks about the intersection of data, design, and AI, defining where our products go as our AI capabilities mature and as more of the analytics experience becomes intelligent and self-service.
Preferred Qualifications
Experience building analytics, business intelligence, or visualization products in a data-intensive enterprise environment
Familiarity with AI/ML concepts and experience shaping AI-native product experiences (conversational, agentic, and intelligent assistance are examples, not the whole picture)
Experience with self-service analytics tooling used by non-technical stakeholders
Understanding of data privacy, governance, and regulatory considerations in analytics
Experience in subscription, commerce, or media and app platform data ecosystems
MS in Computer Science, Engineering, Information Systems, or a related field
Minimum Qualifications
8+ years of product management experience, including shipping data, analytics, or platform products
Track record of owning product vision, strategy, and roadmap, and delivering alongside design and engineering
Strong user-centered design instincts, turning research and feedback into clear requirements and intuitive experiences
Experience translating complex stakeholder needs into well-executed products, including for senior and executive audiences
Comfortable with data analysis and using it to make decisions
Solid grasp of the technical concepts behind data products across frontend, backend, and data, enough to partner deeply with engineering
Proven stakeholder management and communication skills across technical and non-technical audiences
BS in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976