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Behavioral Data Scientist Jobs (NOW HIRING)

Data Scientist, Product

Foster City, CA · On-site

$180K - $250K/yr

You'll directly impact Replit's growth by turning user behavior into actionable insights that shape ... Who You are You're a data scientist who moves fast and goes deep. You can spin up an analysis in ...

... behavior. You'll contribute to data science systems across multiple SaaS products with end-to-end ... influence, emphasizing applied problem solving, data investigation, and system improvement. If you ...

Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the ...

Data Scientist Location: Virtual Essential Skill - Elastic Search, Generative AI Fundamentals ... Analyze and fine-tune search relevance based on user behavior and search intent from querylog.

... making complex model behaviour accessible to business audiences * Drive continuous model ... Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... behavioral, social, or life) may be considered if it included a concentration of coursework (5 or ...

Data Scientist

San Francisco, CA · On-site

$160K - $180K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to ...

The role requires a deep, first-principles understanding of data science and machine learning - not just the ability to apply libraries, but the ability to reason clearly about model behavior ...

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing ... We leverage machine learning and analytics to combat malicious behavior in real time, supporting a ...

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... You will translate behavioral insights and empirical findings into optimized project structures and ...

... behavior, and algorithm performance • Stay current with advancements in AI/ML and apply them thoughtfully to business problems • Balance innovation with execution, ensuring solutions are both ...

The role requires a deep, first-principles understanding of data science and machine learning -- not just the ability to apply libraries, but the ability to reason clearly about model behavior ...

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid ... Unlock customer usage and behavior patterns and develop models to analyze the causal relationships ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

... making complex model behaviour accessible to business audiences * Drive continuous model ... Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us ...

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... You will translate behavioral insights and empirical findings into optimized project structures and ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ...

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Behavioral Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do behavioral data scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for behavioral 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 does a Behavioral Data Scientist do?

A Behavioral Data Scientist analyzes human behavior using data-driven methods, combining psychology, data science, and machine learning. They work with behavioral data from sources like user interactions, surveys, and experiments to identify patterns and make predictions. Their insights help businesses optimize decision-making, improve user experiences, and influence behavior. They often collaborate with product teams, marketers, and researchers to drive data-informed strategies.

What are the key skills and qualifications needed to thrive in the Behavioral Data Scientist position, and why are they important?

To thrive as a Behavioral Data Scientist, you need a solid background in statistics, behavioral science, data analysis, and machine learning, typically supported by an advanced degree in a quantitative field. Expertise with programming languages such as Python or R, familiarity with data visualization tools, and experience using behavioral analytics platforms are highly valued, with certifications in data science being a plus. Strong communication skills, curiosity, and an ability to translate complex findings for non-technical audiences set top candidates apart. These skills ensure you can extract actionable insights from behavioral data, drive data-informed decisions, and collaborate effectively with multidisciplinary teams.

What are some typical projects or tasks a Behavioral Data Scientist might work on?

As a Behavioral Data Scientist, you may analyze user engagement patterns, design and evaluate A/B tests, and build predictive models to better understand customer behavior across digital platforms. You could collaborate closely with product managers, UX researchers, and marketing teams to interpret data and recommend strategies that improve user experiences. Projects often involve sifting through large datasets, contextualizing findings with behavioral theory, and presenting actionable insights to stakeholders. This role offers a dynamic mix of technical analysis and creative problem-solving, with opportunities to have a direct impact on business strategy and product development.
What cities are hiring for Behavioral Data Scientist jobs? Cities with the most Behavioral Data Scientist job openings:
What are the most commonly searched types of Behavioral Data Scientist jobs? The most popular types of Behavioral Data Scientist jobs are:
What states have the most Behavioral Data Scientist jobs? States with the most job openings for Behavioral Data Scientist jobs include:
What job categories do people searching Behavioral Data Scientist jobs look for? The top searched job categories for Behavioral Data Scientist jobs are:
Data Scientist, Product

Data Scientist, Product

Replit

Foster City, CA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
About the Role:
We're redefining how software is built and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. To realize this vision, we need people who are obsessed with understanding how users experience our product and can turn that understanding into decisions that move the needle.
You'll directly impact Replit's growth by turning user behavior into actionable insights that shape product strategy, improve activation and retention, and drive sustainable revenue growth across our self-serve and enterprise segments.
Who You are
You're a data scientist who moves fast and goes deep. You can spin up an analysis in hours that would take others days; not by cutting corners, but because you've built the intuition and technical toolkit to get to the right answer quickly. You're the person who digs past the top-line number to find the confound, questions whether the metric actually measures what people think it does, and pressure-tests your own work before anyone else sees it. You treat experimentation as a craft, not a checkbox. You've felt the pain of underpowered tests and novelty effects, and you have the judgment to get it right.
You use AI agents and tools aggressively to multiply your output - writing code, exploring data, generating hypotheses, but you treat every AI-assisted output as a draft, not a deliverable. You know what good analysis looks like and you won't ship anything that doesn't meet that bar. The result is that you operate at a speed and depth that most DS teams can't match.
You will:
  • Design and analyze product experiments to evaluate feature launches, onboarding changes, and in-product interventions with rigorous statistical methodology.
  • Own the analytics for core product areas - Growth (activation, engagement, monetization & retention), feature adoption, product quality, AI agent effectiveness, and proactively surface insights that influence product roadmap decisions.
  • Build the analytical foundation for Replit's enterprise business, understanding team adoption patterns, workspace collaboration dynamics, and expansion signals that inform go-to-market and product strategy.
  • Develop predictive models to forecast frameworks to measure impact of features and new launches on user behavior, including likelihood to retain, convert, or expand, and embed those signals directly into product and growth workflows.
Examples of what you could do:
  • Design and analyze a complex multi-variant experiment testing pricing, onboarding, and feature gating simultaneously, navigating interaction effects and providing clear recommendations despite ambiguity.
  • Model the "aha moment" for new Replit users - identifying early behaviors most predictive of long-term retention - and work with the product team to redesign onboarding around those signals.
  • Analyze feature adoption and cohort behavior across user segments (students, hobbyists, professional developers, enterprise teams) to help PMs prioritize the roadmap with confidence.
  • Analyze enterprise team adoption patterns to identify what drives successful rollouts versus stalled deployments, and build the data models that power Replit's enterprise expansion playbook.
Required skills and experience:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
  • 5+ years of experience in data science with a focus on product analytics, growth, or user behavior.
  • Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt.
  • Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
  • Experience designing and analyzing A/B tests and experiments, including rigor around sample sizing, power analysis, significance testing, novelty effects, interference between experiments, and causal inference.
  • You leverage AI tools extensively in your own analytical workflow and can demonstrate how they make you more effective, while maintaining high standards for output quality.
Preferred Qualifications:
  • Experience at a PLG company with a self-serve funnel and freemium or usage-based pricing model.
  • Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.) and product analytics platforms (Amplitude, Mixpanel, Segment, etc.).
  • Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).
  • Experience designing ETL workflows and data pipelines using dbt or similar tools.
Bonus Points:
  • You've built or contributed to AI-powered analytical tools, automation, or novel measurement approaches.
  • Experience analyzing freemium or usage-based pricing models.
  • Understanding of developer tools, collaborative coding environments, or technical products.
  • Experience working directly embedded with product teams in an agile environment.
  • Familiarity with customer data platforms (CDPs) and event tracking implementation.

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
Competitive Salary & Equity
401(k) Program with a 4% match (US Only)
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Flexible Time Off (FTO) + Holidays
Commuter Benefits (In-Office Only)
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement (In-Office Only)
Quarterly Team Gatherings
In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
  • Meet the Replit Agent
  • Replit: Make an app for that
  • Replit Blog
  • Amjad TED Talk

Interviewing + Culture at Replit
  • Operating Principles
  • Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.