Data Scientist
San Francisco, CA · On-site
... user or behavioral datasets. Preferred : • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. • Prior ...
Data Scientist
San Francisco, CA · On-site
... user or behavioral datasets. Preferred : • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. • Prior ...
Data Science & Insights Analyst (hybrid)
$75K - $80K/yr
As the Data Science amp; Insights Analyst , you'll help transform data into actionable insights ... You'll work with data across sales, revenue, profitability, customer behavior, marketing campaigns ...
Data Science & Insights Analyst (hybrid)
$75K - $80K/yr
As the Data Science amp; Insights Analyst , you'll help transform data into actionable insights ... You'll work with data across sales, revenue, profitability, customer behavior, marketing campaigns ...
Senior Data Scientist - Digital Intelligence, Device Signals
San Francisco, CA · On-site
$191K - $230K/yr
... and behavioral data to power fraud prevention and identity verification. You'll work with rich ... Master's degree (or equivalent practical experience) in Computer Science, Machine Learning ...
Senior Data Scientist - Digital Intelligence, Device Signals
San Francisco, CA · On-site
$191K - $230K/yr
... and behavioral data to power fraud prevention and identity verification. You'll work with rich ... Master's degree (or equivalent practical experience) in Computer Science, Machine Learning ...
Senior Data Scientist - Digital Intelligence, Device Signals
San Francisco, CA · On-site
$150K - $185K/yr
... and behavioral data to power fraud prevention and identity verification. You'll work with rich ... Master's degree (or equivalent practical experience) in Computer Science, Machine Learning ...
Senior Data Scientist - Digital Intelligence, Device Signals
San Francisco, CA · On-site
$150K - $185K/yr
... and behavioral data to power fraud prevention and identity verification. You'll work with rich ... Master's degree (or equivalent practical experience) in Computer Science, Machine Learning ...
Senior Director, Data Science
Milpitas, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Milpitas, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Hayward, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Hayward, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
San Jose, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
San Jose, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Fremont, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Fremont, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Data Engineer
Los Angeles, CA · On-site
$60/hr
Excellent Communication Qualifications * 7+ years of experience in data science, ideally in ... Strong skills in feature engineering, handling large-scale behavioral data, and building ML ...
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Data Engineer
Los Angeles, CA · On-site
$60/hr
Excellent Communication Qualifications * 7+ years of experience in data science, ideally in ... Strong skills in feature engineering, handling large-scale behavioral data, and building ML ...
Senior Director, Data Science
Mountain View, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Mountain View, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Cupertino, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
Cupertino, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Manager, Data Science - Emerging ML Data is at the center of everything we do. As a startup, we ... Building customer behavioral models (using transaction, clickstream, and other data) that identify ...
Manager, Data Science - Emerging ML Data is at the center of everything we do. As a startup, we ... Building customer behavioral models (using transaction, clickstream, and other data) that identify ...
Manager, Data Science - Emerging ML Data is at the center of everything we do. As a startup, we ... Building customer behavioral models (using transaction, clickstream, and other data) that identify ...
Manager, Data Science - Emerging ML Data is at the center of everything we do. As a startup, we ... Building customer behavioral models (using transaction, clickstream, and other data) that identify ...
Senior Director, Data Science
San Mateo, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Senior Director, Data Science
San Mateo, CA · On-site
$208K - $416K/yr
... based models for user behavior representation. * Deep knowledge of low-latency inference ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Data Science Lead Engineering Manager Primary: Bay Area (San Francisco / Peninsula) | Secondary ... Build the data analysis mechanisms that turn raw user behavior into actionable product insights ...
Data Science Lead Engineering Manager Primary: Bay Area (San Francisco / Peninsula) | Secondary ... Build the data analysis mechanisms that turn raw user behavior into actionable product insights ...
Applied Science / Data Science Leader
San Francisco, CA · On-site
$320K - $380K/yr
... through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2 ... About the Role Our Applied Science / Data Science team is a world-class organization focused on ...
Applied Science / Data Science Leader
San Francisco, CA · On-site
$320K - $380K/yr
... through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2 ... About the Role Our Applied Science / Data Science team is a world-class organization focused on ...
Enterprise AI & Data Science Strategy * Define and own the multi-year AI and data science strategy ... Advanced customer segmentation (behavioral, psychographic, ML-based clustering) * Customer lifetime ...
Enterprise AI & Data Science Strategy * Define and own the multi-year AI and data science strategy ... Advanced customer segmentation (behavioral, psychographic, ML-based clustering) * Customer lifetime ...
Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn. * Use exploratory data analysis to uncover hidden patterns ...
Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn. * Use exploratory data analysis to uncover hidden patterns ...
Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn. * Use exploratory data analysis to uncover hidden patterns ...
Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn. * Use exploratory data analysis to uncover hidden patterns ...
Lead Data Scientist
Woodland Hills, CA · On-site +1
... and behavioral data to influence strategic decisions, use innovative techniques like machine ... Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Data Science ...
Lead Data Scientist
Woodland Hills, CA · On-site +1
... and behavioral data to influence strategic decisions, use innovative techniques like machine ... Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Data Science ...
Behavioral Data Science information
See California salary details
$23.5K - $39.2K
13% of jobs
$39.2K - $54.8K
11% of jobs
$58.2K is the 25th percentile. Wages below this are outliers.
$54.8K - $70.5K
7% of jobs
$70.5K - $86.2K
13% of jobs
The median wage is $94.7K / yr.
$86.2K - $101.8K
12% of jobs
$101.8K - $117.5K
11% of jobs
$132.3K is the 75th percentile. Wages above this are outliers.
$117.5K - $133.2K
10% of jobs
$133.2K - $148.8K
6% of jobs
$148.8K - $164.5K
7% of jobs
$164.5K - $180.2K
6% of jobs
$180.2K - $195.8K
4% of jobs
$23.5K
$105.1K
$195.8K
How much do behavioral data science jobs pay per year?
As of Aug 6, 2026, the average yearly pay for behavioral data science in California is $105,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,222.00 and $142,967.00 per year, depending on experience, location, and employer.
What can I do with a behavioral data science degree?
A behavioral data science degree prepares individuals for roles such as data analyst, behavioral scientist, or user experience researcher, focusing on analyzing human behavior through data. Graduates often work with statistical tools, programming languages like Python or R, and data visualization software to inform decision-making in marketing, product development, or healthcare. These roles typically require strong analytical skills and understanding of psychological or social science principles.
What does a behavioral data scientist do?
A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.
What is behavioral data science?
A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.
What types of projects or problems do behavioral data scientists typically work on?
Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.
Is behavioral data science in high demand?
Behavioral data science is in high demand as organizations seek to understand human behavior through data analysis, machine learning, and statistical modeling. Professionals with skills in programming, data visualization, and behavioral psychology are especially sought after across industries such as marketing, healthcare, and finance.
What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?
To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.
What are the most commonly searched types of Behavioral Data Science jobs in California? The most popular types of Behavioral Data Science jobs in California are:
What are popular job titles related to Behavioral Data Science jobs in California? For Behavioral Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in California look for? The top searched job categories for Behavioral Data Science jobs in California are:
What cities in California are hiring for Behavioral Data Science jobs? Cities in California with the most Behavioral Data Science job openings:
Job description
Job Summary:
Triumph is a company focused on creating engaging products for real-money players. As a Data Scientist, you will develop models that influence pricing, user retention, and monetization strategies, while collaborating with a small quant team to drive impactful business decisions.
Responsibilities:
• Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue.
• Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk.
• Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology.
• Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories).
• Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.
• Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions.
Qualifications:
Required:
• 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.
• Proficiency in Python and SQL.
• Experience working with large-scale user or behavioral datasets.
Preferred:
• 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.
Company:
Triumph is a game-developing software firm. Founded in 2020, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Early Stage.
Triumph is a company focused on creating engaging products for real-money players. As a Data Scientist, you will develop models that influence pricing, user retention, and monetization strategies, while collaborating with a small quant team to drive impactful business decisions.
Responsibilities:
• Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue.
• Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk.
• Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology.
• Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories).
• Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.
• Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions.
Qualifications:
Required:
• 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.
• Proficiency in Python and SQL.
• Experience working with large-scale user or behavioral datasets.
Preferred:
• 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.
Company:
Triumph is a game-developing software firm. Founded in 2020, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Early Stage.