Product Data Scientist Jobs

New

Product Data Scientist

This is a unique opportunity to join one of the most exciting Series-A AI compan...

Location

United States

Salary:

210000.00 - 260000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

4+ years in a product analytics or data science role within a high-growth tech company
strong with SQL and Python (or R)
experience designing experiments, building metrics from scratch, and influencing product direction
excited by working in AI-powered products, consumer experiences, or commerce tech

Job Responsibility

Partner closely with product and engineering to shape the roadmap through data
Design and analyze A/B and multivariate tests that guide product and UX decisions
Build and maintain the core metrics, dashboards, and experimentation frameworks that define success
Surface actionable insights from behavioral data and help translate numbers into strategy

What we offer

meaningful equity

Fulltime

Senior Data Scientist, Product

We are seeking a highly analytical and impact-driven Senior Data Scientist to he...

Location

United States

Salary:

185000.00 - 240000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required
Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required
Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential
Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals

Job Responsibility

Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products
Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions
Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions
Establish and maintain best practices for data collection, analysis, and reporting
Deliver actionable insights and recommendations focused on landing tangible product impact
Help foster a culture of data-driven decision-making and continuous improvement within the product teams
Ensure the integrity and accuracy of the data used for analysis and reporting
While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

New

Senior Data Scientist, Product

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven expertise in data science, with a strong background in statistical analysis and machine learning
Outstanding problem-solving skills and the ability to think critically and creatively
Strong programming skills in Python & SQL, or other relevant languages
Experience with data visualization tools and techniques
Ability to successfully implement projects and compete in a fast-paced environment
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models

Job Responsibility

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
Define and maintain key product performance metrics
build scalable dashboards to monitor these metrics and advise decision-making
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
Assist with established methods, standard approaches, and promote a data-informed culture within the organization

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

New

Senior Data Scientist, Product Growth

Khan Academy is looking for a senior data scientist to play a critical role in o...

Location

United States , Mountain View

Salary:

137871.00 - 155105.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Background in applied math, statistics, economics, or a related technical field
5+ years of experience in data science or analytics
Proficient with statistical techniques (i.e., multiple regression, causal inference, AB testing, hypothesis testing) for real-world applications
Advanced SQL foundations & ability to manipulate data using R or Python
Compelling data storytelling and visualization (i.e. Looker) with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions to drive impact

Job Responsibility

Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features
Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments
Use your expertise with statistical techniques to quantify the impact of various features, programs, and interventions
Share results of analyses to non-technical audiences in ways that help them develop insights about our offerings
Contribute to the development of self-service analytics tools to enhance data access for the product team
work with our engineering teams to improve our tools and datasets

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
Generous parental leave
An exceptional team that trusts you and gives you the freedom to do your best
The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

Fulltime

Staff Data Scientist

We are seeking a highly analytical and impact-driven Senior Data Scientist to he...

Location

United States

Salary:

198000.00 - 278000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization
Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc.
Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products
Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense

Job Responsibility

Translate business needs into data analysis and actionable insights to optimize product performance and user experience
Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions
Develop and maintain a scalable, reliable, and accurate analytics infrastructure
Establish and maintain best practices for data collection, analysis, and reporting
Deliver actionable insights and recommendations focused on landing tangible product impact
Help foster a culture of data-driven decision-making and continuous improvement
Ensure the integrity and accuracy of the data used for analysis and reporting
Support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

New

Senior Data Scientist - Accounting

As a Data Scientist at Mercury focused on Financial & Accounting Workflows, you ...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

166600.00 - 208300.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

Have 3–5 years of experience in product analytics or data science, ideally with exposure to financial workflows, accounting, or B2B SaaS products
Be fluent in SQL and proficient in a statistical programming language (e.g., Python)
Have experience designing and analyzing A/B tests, and applying causal inference methods
Be comfortable building data pipelines, dashboards, and reports using modern data stack tools such as Snowflake, dbt, and Omni or Metabase
Have experience with ERP/accounting systems (QuickBooks, Xero, NetSuite) or accounting workflows
Experience applying ML or GenAI to real-world product problems
Be organized and communicative, able to manage multiple priorities and collaborate with stakeholders at different levels of technical fluency

Job Responsibility

Partner with Financial & Accounting Workflow stakeholders to define success metrics for new product initiatives and ensure teams have the right measurements in place
Collaborate with product and engineering to design and analyze experiments that guide product decisions and validate impact
Contribute to launches of new products like Books by helping scope success criteria, tracking adoption, and analyzing performance post-launch
Work closely with product teams to surface insights that inform iteration and help identify opportunities for deeper engagement or new product lines
Partner with engineers to prototype and apply ML/AI solutions that streamline financial workflows
Build dashboards, data pipelines, and reporting that enable self-serve analytics for product and business partners

What we offer

equity (stock options)
benefits

Fulltime

Product Data Scientist

Orbis Consultants

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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