ZipRecruiter

Log In

1

Behavioral Data Scientist Jobs (NOW HIRING)

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real ... Behavioral Modeling : Develop ML and statistical models on rich, high-frequency user behavior data ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real ... Behavioral Modeling : Develop ML and statistical models on rich, high-frequency user behavior data ...

The Subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... You will sit at the intersection of product, engineering, and business, transforming raw behavioral ...

Smadex

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... You will sit at the intersection of product, engineering, and business, transforming raw behavioral ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... You will sit at the intersection of product, engineering, and business, transforming raw behavioral ...

Mondo

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract ... behavioral, transactional, and demographic data across multiple customer and user datasets • ...

Replit

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 ...

Reddit

Principal Data Scientist, Ads

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 ...

next page

Showing results 1-20

All JobsBehavioral Data Scientist Jobs

Behavioral Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do behavioral data scientist jobs pay per year?

As of Jul 14, 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 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 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.

More about Behavioral Data Scientist jobs
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:
Behavioral Data Scientist jobs near you
Data Scientist

Data Scientist

Triumph

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

The Role

As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.

You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day.

What You'll Do

  • Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.

  • User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them.

  • Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.

  • Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.

  • Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.

  • Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.

Qualifications

  • Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.

  • True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline.

  • Proficiency in Python and SQL.

  • Experience working with large-scale user or behavioral datasets.

Preferred Qualifications

  • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.

  • Prior experience as a quantitative trader or quantitative researcher.

  • Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.

  • Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.

Why Triumph?

  • High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.

  • High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.

  • High energy. Passionate team who are proud of our work and velocity (16x year over year growth).

  • Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.

Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco.

Compensation Range: $200K - $400K