ZipRecruiter

Log In

1

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

Triumph

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... market behavior. • Familiarity with time‑series modeling, signal processing, or index ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... market behavior. • Familiarity with time‑series modeling, signal processing, or index ...

TBK Bank, SSB

Director of Data Science

Dallas, TX

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... behavior. * Familiarity with timeseries modeling, signal processing, or index construction.

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... behavior. * Familiarity with time-series modeling, signal processing, or index construction.

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize ... market behavior. • Familiarity with time‑series modeling, signal processing, or index ...

Wells Fargo

Data Science Director

Irving, TX · On-site

Wells Fargo is seeking a Data Science Director to lead a broad, strategic analytics portfolio ... Integrate customer research, voice-of-customer insights, and behavioral analytics to create a ...

HEB

Data Engineering Manager

Dallas, TX

Behavioral event processing Nice to Have: * Customer 360 platforms * Customer identity resolution * Clickstream analytics * Partner with Data Scientists and Machine Learning Engineers to ...

Deloitte

Lead AI and Data Science Engineer II

Fort Worth, TX

$98K - $129K/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 ...

Deloitte

Lead AI and Data Science Engineer II

Dallas, TX · On-site

$101K - $133K/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 ...

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

... behaviors and outcomes in the casualty and absence space. Methods include basic descriptive ... the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81K/yr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The ... Continuously refine models, assumptions, and tools as assortments, customer behavior, and ...

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX

... behavior, and limitations beyond empirical validation. * Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark ...

next page

Showing results 1-20

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

Behavioral Data Science information

See Dallas, TX salary details

$23.7K

$106K

$197.4K

How much do behavioral data science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for behavioral data science in Dallas, TX is $105,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,687.00 and $144,070.00 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 Dallas, TX? The most popular types of Behavioral Data Science jobs in Dallas, TX are:
What are popular job titles related to Behavioral Data Science jobs in Dallas, TX? For Behavioral Data Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Dallas, TX look for? The top searched job categories for Behavioral Data Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Behavioral Data Science jobs? Cities near Dallas, TX with the most Behavioral Data Science job openings:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Dallas, TX as of July 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $105,957 per year, or $50.9 per hour.

Director of Data Science

Triumph

Dallas, TX • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Triumph is a forward-thinking company focused on creating a seamless freight transaction network. They are looking for a Director of Data Science to design and operationalize quantitative models that enhance intelligence solutions for transportation, while managing a data science team and ensuring model reliability and transparency.
Responsibilities:
• Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
• Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
• Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade‑offs.
• Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
• Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
• Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
• Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
• Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.
Qualifications:
Required:
• A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
• 5–7 years of professional experience in data science, applied statistics, or quantitative analytics.
• Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
• Demonstrated ability to build models that support decision making, optimization, or market intelligence.
• Strong Python and SQL skills and experience working with large, complex datasets.
• Experience validating models and monitoring performance in production environments. Direct experience with model governance frameworks.
• Ability to clearly communicate quantitative insights to both technical and non‑technical stakeholders.
Preferred:
• Experience working with transportation, logistics, supply chain, or network-based data.
• Strong expertise in Regression & tree-based models (e.g., XGBoost, Random Forest)
• Strong expertise in Time series forecasting (e.g., SARIMAX, Prophet, TFT)
• Strong expertise in Statistical modeling of skewed distributions (e.g., log-normal, gamma)
• 2 years in a leadership or people‑management capacity
• Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
• Familiarity with time‑series modeling, signal processing, or index construction.
• Experience supporting intelligence, analytics, or data products used by external customers.
• Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)
Company:
Triumph is a financial and technology company serving the transportation industry with pioneering payments, factoring, intelligence and banking solutions, powered by The Triumph Network. Founded in 2010, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply