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Behavioral Data Science Jobs in Houston, TX (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Houston, TX · On-site

$97K - $128K/yr

The team combines behavioral science, organizational research, advanced analytics, and artificial ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100 - $200/hr

Statistics - Good applied statistical skills, including knowledge of statistical tests, behavior ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

New

Microvast

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

Required : • Master's or PhD in Computer Science, Mathematics, Engineering, or a related field ... battery behavior, including SoC/SoH calculation, degradation, thermal behavior, and charging ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

... behavior, financial metrics, operational KPIs, inventory trends, and sales forecasting. The ideal ... Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics ...

PureWay Compliance, Inc.

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

... behavior, financial metrics, operational KPIs, inventory trends, and sales forecasting. The ideal ... Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics ...

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All JobsBehavioral Data Science JobsBehavioral Data Science Jobs in Houston, TX

Behavioral Data Science information

See Houston, TX salary details

$23.3K

$104.1K

$193.8K

How much do behavioral data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for behavioral data science in Houston, TX is $104,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,606.00 and $141,504.00 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 Houston, TX? The most popular types of Behavioral Data Science jobs in Houston, TX are:
What are popular job titles related to Behavioral Data Science jobs in Houston, TX? For Behavioral Data Science jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Houston, TX look for? The top searched job categories for Behavioral Data Science jobs in Houston, TX are:
What cities near Houston, TX are hiring for Behavioral Data Science jobs? Cities near Houston, TX with the most Behavioral Data Science job openings:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $104,070 per year, or $50 per hour.

Data Scientist - Intermediate - Hybrid

Precision Human Capital Inc

Houston, TX • On-site

Full-time

Re-posted 18 days ago

Job description

 Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX.
As the ideal candidate, you will be responsible for the following:
  • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
  • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
  • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
  • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
  • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
  • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
  • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
  • Understand what matters most and prioritize ruthlessly
  • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives)

Qualifications:
  • BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience.
  • Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
  • Understanding of statistical concepts and experience in applying them.
  • Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
  • Experience in data analyses using SQL.
  • Experience in at least one programming language (preferably Python).
  • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:
  • Domain experience in product, marketing, growth, and/or other business analytics areas.

If this opportunity speaks to you than don't delay, apply today!

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