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Entry Level Behavioral Data Scientist Jobs in California

As a Data Scientist, you will develop models that influence pricing, user retention, and ... behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories). • ...

Data Scientist

San Francisco, CA · On-site

$110 - $150/hr

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

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity ... Apply quantitative analysis and statistical modeling to uncover customer behavior and trends * Act ...

Data Scientist

San Francisco, CA · On-site

$300K - $400K/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 ...

Role Summary As a Data Scientist, you will support the development of analytical models ... Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Data Scientist

San Francisco, CA · On-site

$200 - $235/hr

Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior ... About You We are looking for a Data Scientist who can take on challenging projects across the ...

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior ...

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... Proactively identify abnormal production behavior and communicate them clearly to relevant ...

Data Scientist

San Francisco, CA · On-site

$210 - $330/hr

We're looking for someone who has been a great data scientist, analytics engineer, or data engineer ... user behavior, and you have good instincts for what to measure and what to build. * Deep SQL ...

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

Shape the direction of key data science areas for 2020 - usage forecasting, product analytics, user behavior, and funnel analysis. * Work closely with Product Management, Sales, Customer Success and ...

Who We're Looking For As a Data Scientist in Delivery, you are a problem solver and builder who is ... the behaviour of physical systems. * Taking full responsibility for the quality, accuracy and ...

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Entry Level Behavioral Data Scientist information

What are the key skills and qualifications needed to thrive as an entry level behavioral data scientist, and why are they important?

To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.

What types of projects does an entry level behavioral data scientist typically work on, and how do they collaborate with other teams?

Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.

Is entry level behavioral data scientist in high demand?

Entry level behavioral data scientists are in growing demand as organizations seek to understand user behavior and improve decision-making through data analysis and machine learning tools. Skills in statistical analysis, programming, and data visualization are highly valued, and job opportunities are expanding across various industries such as tech, healthcare, and finance.

What is an entry level behavioral data scientist?

An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.
What are the most commonly searched types of Behavioral Data Scientist jobs in California? The most popular types of Behavioral Data Scientist jobs in California are:
What are popular job titles related to Entry Level Behavioral Data Scientist jobs in California? For Entry Level Behavioral Data Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Scientist jobs in California look for? The top searched job categories for Entry Level Behavioral Data Scientist jobs in California are:
What cities in California are hiring for Entry Level Behavioral Data Scientist jobs? Cities in California with the most Entry Level Behavioral Data Scientist job openings:
Infographic showing various Entry Level Behavioral Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Triumph

San Francisco, CA • On-site

Full-time

Re-posted 9 days ago


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.