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Product Data Scientist Jobs (NOW HIRING)

The Product Data Scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership ...

Product Data Scientist \n \n \n \n \n \n We're hiring a Product Data Scientist to own the measurement, experimentation, and analytics that shape both the product experience and how we think about ...

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 ...

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 ...

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.

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 ...

Product Data Scientist We're hiring a Product Data Scientist to own the measurement, experimentation, and analytics that shape both the product experience and how we think about credit and risk. You ...

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 ...

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 ...

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 ...

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 ...

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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 Jul 17, 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 data scientist job still in demand?

Data scientist roles remain in high demand across industries due to the increasing reliance on data-driven decision making. Skills in programming, statistical analysis, and machine learning tools like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

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 knowledge of data analysis 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.

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What states have the most Product Data Scientist jobs? States with the most job openings for Product Data Scientist jobs include:
Product Data Scientist

Product Data Scientist

ISACA

Schaumburg, IL • On-site

Full-time

Posted 20 days ago


Job description

About ISACAISACA (www.isaca.org) champions the global workforce advancing trust in technology. For more than 55 years, ISACA has empowered its community of 195,000+ members with the knowledge, credentials, training and network they need to thrive in fields like information security, governance, assurance, risk management, data privacy and emerging tech. With a presence in more than 195 countries and with more than 230 chapters worldwide, ISACA offers resources tailored to every stage of members' careers-helping them to thrive in a rapidly changing digital landscape, drive trusted innovation and ensure a more secure digital world. Through the ISACA Foundation, ISACA also expands IT and education career pathways, fostering opportunities to grow the next generation of technology professionals.Overview

The Product Data Scientist works with the product team to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on diverse product and market data sources. The Product Data Scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making processes and shape the way ISACA's products are measured. The outputs of this role will assist in developing strategies, evaluating initiatives, and defining and tracking KPIs - leading the way for high-quality, data-driven decisions to be made by the product team. Their input will be essential to decision making for product and initiatives that the team creates by helping define the way performance is measured and what questions we should be asking. This role will work closely with not only the product team, but also IT, Finance, Operations, and other departments.   

Responsibilities

Reporting & Analytics 

  • Performs large-scale experimentation and builds data-driven models to answer business questions from structured and unstructured data sets 
  • Proactively mines internal and external data sources to identify trends, patterns, and generate insights into business units and senior leadership 
  • Performs experimentation to identify hidden relationships between variables in datasets 
  • Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient 
  • Apply statistical analysis, machine learning, and visualization techniques to various data. 
  • Supporting the product team with analytics throughout the development process, from high-level product roadmap prioritization to post-launch review 
  • Overall, provide a detail-oriented, impact-oriented, customer-centric approach to data analysis 

Discovery & Insights  

  • Design and conduct data analysis on ISACA's products and relevant markets, providing deeper insights and enabling the organization to refine budgets, forecasts, and segmentation. 
  • Dive deep into data and provide insights and recommendations to drive product innovation, define product goals, and ensure product goals and forecasts can be met or exceeded.  
  • Research and report on competitors and market trends to benchmark ISACA's current and potential offerings and inform go-to-market strategies 
  • Translate business needs into analytics/reporting requirements to support strategic decisions and team workflows with required information 

Stakeholder Management 

  • Create a roadmap for data analysis projects, working with stakeholders to determine and establish priorities to balance ongoing projects with ad hoc requests. 
  • Facilitate communication across teams and stakeholders throughout all phases of data analysis, from ideation to measurement to reporting. 
  • Contribute to an effective work environment by setting a positive tone, establishing performance expectations, and driving accountability.  

Other Duties

  • Support product team members' efforts to build their data literacy with guided support and ad hoc training on data analysis results to make sure they are accurately relayed to business stake holders. 
  • Work with cross-functional stakeholders to align data access and architectures across organizational initiatives and key data-driven projects. 
Qualifications

Required Field of Study: 

  • Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience 

Minimum Years of Experience Required:  

  • 3+ years of data science, analytics, or product analytics experience. 

Description of Minimum Experience Required: 

  • Demonstrated ability to conduct and interpret quant. Analysis 
  • Proficiency in visualization tools like Power BI and Tableau 
  • Experience with programming languages and/or statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS 
  • Knowledge of statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc. 
  • Ability to express complex information and communicate the 'data story' in simple, digestible ways 
  • Excellent written and oral communication skills  

Preferred Field of Study: 

  • Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience 

Preferred Years of Experience: 

  • 5+ years of data science, analytics, or product analytics experience. 

Description of Preferred Experience:  

  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS 
  • Fluency in multiple statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc. 
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of AI capabilities 

Competencies/Skills Required:   

  • Tenacious, curious, and a fast learner - able to overcome obstacles to get answers 
  • Enthusiasm for metrics, research, KPIs, and data exploration 
  • Willingness and ability to learn new technologies on the job 
  • Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding 
  • Ability to work in diverse, cross-functional teams in a dynamic business environment 
  • Superior presentation skills, including storytelling and other techniques to guide and inspire 
  • Impeccable follow through 
  • Strong written and verbal communication skills to share insights and influence stakeholders 
  • Ability to synthesize complex data into actionable insights and goals 
  • Critical thinking skills to recommend original and productive ideas 
  • Well organized, detail-oriented and self-motivated 
  • Comfortable in a fast paced constantly changing environment 
  • A self-starter with a strong bias for action

Ability to travel, as needed, to meet with chapters, members, and partners; attend conferences, events, and organizational meetings; and participate in company-sponsored trainings. Periodic travel to the Pittsburgh office and other locations may be required to support team collaboration and business objectives.

Equal Opportunity Employer (EEO)ISACA is proud to be an equal opportunity employer. ISACA is committed to building an environment of diversity, equity, and inclusion where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, age, ancestry, disability, genetic information, citizenship, sexual orientation, veteran status, marital status, familial status, military discharge status, or any other characteristic or status protected by federal, state, or local law. We support an inclusive workplace where employees excel based on merit, qualifications, experience, and ability.Posted Salary RangeUSD $74,659.00 - USD $111,988.00 /Yr.Benefits Information

Benefits Information available below: 

ISACA Career Opportunities and Benefits

Employment Type: FULL_TIME