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Behavioral Data Science Jobs (NOW HIRING)

CCT

Data Scientist

Tulsa, OK

Summary We are seeking talented individuals to join our Data Science team, developing machine ... behavioral data (segmentation, churn prediction and lifetime value models) * Create anomaly ...

CCT

Data Scientist

Tulsa, OK · On-site

Summary We are seeking talented individuals to join our Data Science team, developing machine ... behavioral data (segmentation, churn prediction and lifetime value models) * Create anomaly ...

CookUnity

OR

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

MrBeast

Data Science Lead

San Francisco, CA · On-site

Data Science Lead Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC About Us Beast ... Build the data analysis mechanisms that turn raw user behavior into actionable product insights ...

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Behavioral Data Science information

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How much do behavioral data science jobs pay per year?

As of Jun 25, 2026, the average yearly pay for behavioral data science in the United States is $107,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $146,000.00 per year, depending on experience, location, and employer.

Is behavioral science a good career?

Behavioral Data Science is a growing field that combines psychology, data analysis, and statistical skills to understand human behavior. It offers opportunities in research, consulting, and technology sectors, often requiring proficiency in programming tools like Python or R. The career can be rewarding for those interested in applying scientific methods to real-world problems and typically involves continuous learning and interdisciplinary collaboration.

What careers use behavioral science?

Behavioral science is used in careers such as behavioral data scientist, marketing analyst, user experience researcher, and policy advisor. These roles involve applying psychological and behavioral principles to understand and influence human behavior, often utilizing data analysis tools and research methods. Professionals in these fields work across industries like technology, healthcare, finance, and government to improve products, services, and policies.

What is a Behavioral Data Science job?

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.

What is a behavioral data scientist?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They often use statistical tools, machine learning, and behavioral theories to interpret data from sources like surveys, digital interactions, or experiments, supporting organizations in understanding user actions and improving products or services.

What can you do with a behavioural science degree?

A behavioral data science degree prepares individuals for roles analyzing human behavior using data analysis, statistical tools, and programming languages like Python or R. Graduates can work as data analysts, behavioral scientists, user experience researchers, or in roles that require understanding consumer behavior and decision-making processes in various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, 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.

More about Behavioral Data Science jobs
What cities are hiring for Behavioral Data Science jobs? Cities with the most Behavioral Data Science job openings:
What are the most commonly searched types of Behavioral Data Science jobs? The most popular types of Behavioral Data Science jobs are:
What states have the most Behavioral Data Science jobs? States with the most job openings for Behavioral Data Science jobs include:
What job categories do people searching Behavioral Data Science jobs look for? The top searched job categories for Behavioral Data Science jobs are:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,376 per year, or $51.6 per hour.
Data Scientist

Data Scientist

CCT

Tulsa, OK

Other

Posted 17 days ago

Job description

Summary 
 
We are seeking talented individuals to join our Data Science team, developing machine learning solutions and analytics capabilities that power our Intelligence Platform for casino clients.
The Data Scientist role builds and maintains predictive models, anomaly detection systems, and analytical tools that help casinos optimize player development, gaming operations, and compliance monitoring. This role will work closely with data engineers, product teams, and fellow data scientists to design and deploy data-driven solutions. The Data Scientist is responsible for developing models across the full lifecycle-from exploratory analysis and feature engineering through production deployment and ongoing monitoring.
Essential Duties and Responsibilities
  • Build and maintain statistical models, machine learning algorithms, and predictive analytics using gaming and behavioral data (segmentation, churn prediction and lifetime value models)
  • Create anomaly detection systems for fraud and compliance monitoring
  • Collaborate with data engineers to collect and preprocess data, and build and maintain data pipelines
  • Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
  • Document models and use data visualization tools to communicate insights and findings to stakeholders
Requirements
  • BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
  • Strong Python programming skills and proficiency in SQL for data extraction and analysis
  • Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc.
  • Experience with machine learning frameworks (scikit-learn, pandas) and deep learning libraries (PyTorch or TensorFlow), along with fundamental ML concepts (model evaluation, cross-validation, feature engineering)
  • Strong communication and story-telling skills, and ability to work collaboratively with cross-functional teams
  • Intellectual curiosity and comfort with ambiguity; we're building new things, not following playbooks
Certified Banana Picker
Preferred Experience
  • Experience with cloud platforms, especially AWS (S3, SageMaker, Lambda, etc)
  • Exposure to time-series analysis, survival models, or probabilistic modeling
  • Familiarity with model lifecycle management, CI/CD, containers, model monitoring, and feature stores
  • Exposure to causal inference concepts (A/B testing, uplift modeling, experimental vs. observational data)
  • Experience with data visualization (matplotlib, seaborn, plotly, etc.)

About CCT

Founded in 2012, CCT pioneered revenue audit automation for land-based casinos, eliminating manual reconciliation processes and improving financial visibility. The company's flagship platform, Insight Cash, provides a detailed, audit-ready view of cash transactions across the casino floor, ensuring compliance, operational efficiency, and fraud prevention. Today, CCT serves over 350 casinos across the United States, Canada and the Caribbean, helping operators streamline financial workflows and reduce audit-related labor costs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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