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Applied Behavioral Science Jobs in Texas (NOW HIRING)

Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains. * Applied AI / Data Science: Experience ...

Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains. * Applied AI / Data Science: Experience ...

In this role, you'll work directly with children as part of their individualized Applied Behavior ... Working towards or has obtained a Degree in Behavioral Science or related field (such as Psychology ...

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Applied Behavioral Science information

See Texas salary details

$22.8K

$45.1K

$73.6K

How much do applied behavioral science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for applied behavioral science in Texas is $45,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,900.00 and $48,400.00 per year, depending on experience, location, and employer.

What is applied behavioral science?

Applied behavioral science is the study and use of knowledge about how people think, feel, and behave in real-world settings. Professionals in this field use research and evidence-based techniques from psychology, sociology, and related disciplines to solve practical problems, such as improving workplace productivity, promoting healthier habits, or designing better public policies. Applied behavioral scientists may work in sectors like healthcare, education, business, or government to develop interventions that positively influence behavior and outcomes.

What are the key skills and qualifications needed to thrive as an applied behavioral scientist?

To thrive as an Applied Behavioral Scientist, you need a strong background in psychology, behavioral analysis, research methods, and typically a relevant advanced degree such as an MS or PhD. Familiarity with statistical software (e.g., SPSS, R), experimental design, and data analysis tools is essential for conducting and interpreting research. Excellent problem-solving, communication, and collaboration skills help you translate findings into practical interventions and work effectively with multidisciplinary teams. These competencies are crucial for designing evidence-based solutions that drive positive behavioral change in organizational or community settings.

What are some common challenges faced by professionals in applied behavioral science and how can they be addressed?

Professionals in Applied Behavioral Science often encounter challenges such as resistance to behavioral interventions, difficulties in accurately measuring behavioral change, and working across multidisciplinary teams. Addressing these challenges typically involves building strong rapport with clients, using evidence-based assessment tools, and fostering open communication with other professionals such as clinicians, educators, or organizational leaders. Staying updated on the latest research and regularly participating in professional development also helps practitioners adapt their strategies and improve outcomes.

What is the difference between Applied Behavioral Science vs Behavioral Analyst?

AspectApplied Behavioral ScienceBehavioral Analyst
CredentialsDegree in behavioral science, psychology, or related field; certifications like BCBA often preferredMaster's degree in behavior analysis, psychology, or related field; BCBA certification required
Work EnvironmentResearch settings, consulting firms, educational institutions, healthcare organizationsClinical settings, schools, healthcare facilities, private practice
Industry UsageUsed broadly in research, policy development, and program designPrimarily in clinical intervention and behavior modification programs

Applied Behavioral Science and Behavioral Analyst roles share foundational knowledge and certifications, but Applied Behavioral Science often encompasses broader research and policy work, while Behavioral Analysts focus on direct intervention and client treatment. Both roles are vital in applying behavioral principles across various settings.

What can I do with a degree in applied behavioral science?

A degree in applied behavioral science prepares individuals for roles such as behavior analyst, research coordinator, or program evaluator, often involving data analysis, behavioral interventions, and working with diverse populations. Graduates can work in settings like healthcare, education, social services, or corporate consulting, and may pursue certifications like the Board Certified Behavior Analyst (BCBA) to enhance career prospects.

What can you do with a degree in applied behavioral science?

A degree in applied behavioral science prepares individuals for roles such as behavior analyst, behavioral health technician, or program evaluator. Graduates often work in healthcare, education, social services, or organizational consulting, applying behavioral principles to improve outcomes and develop intervention strategies. The field typically requires strong analytical skills and knowledge of behavioral assessment tools.

What job categories do people searching Applied Behavioral Science jobs in Texas look for?

The top searched job categories for Applied Behavioral Science jobs in Texas are:

What cities in Texas are hiring for Applied Behavioral Science jobs?

Cities in Texas with the most Applied Behavioral Science job openings:

Infographic showing various Applied Behavioral Science job openings in Texas as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 76% Full Time, 19% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $45,084 per year, or $21.7 per hour.

Data Scientist, Specialist

Dallas, TX • On-site

Vanguard
Photography Services • 1 - 5K employees

Full-time

Re-posted 14 days ago


Job description

Job Description Summary Leads the design, development, validation, and continuous improvement of Vanguard's proprietary AI-powered human simulation capability. This emerging technology models client behaviors, preferences, decision-making, and responses. The system combines advanced data science, behavioral science, marketing analytics, and generative AI techniques to build trusted digital representations of client segments and journeys. This role is responsible for developing simulation frameworks, persona models, evaluation methodologies, and agentic AI capabilities that enable teams to predict customer responses, optimize marketing strategies, accelerate experimentation, and improve business outcomes. Partners closely with Product, UX Research, Analytics, Marketing, Data Engineering, and Technology teams to advance the capability as a scalable, self-service function while improving simulation fidelity, trust, and business impact.

Core Responsibilities

  • Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making.

  • Lead analytic and AI initiatives that improve simulation fidelity, business relevance, and predictive accuracy through experimentation, validation, and real-world outcome measurement.

  • Apply behavioral science, customer research, UX insights, and marketing analytics to develop and refine human-centered AI models.

  • Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation frameworks, prompt engineering, and model performance measurement.

  • Partner with Product, Marketing, Analytics, UX Research, and Technology teams to translate business problems into scalable AI and data science solutions. Communicate findings and recommendations to stakeholders and mentor junior data scientists and analysts.
    Qualifications
    Required

  • Minimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field.

  • Demonstrated strength in at least one of the following areas:  Analytics: Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains.

  • Applied AI / Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks.

  • Strong programming skills in Python and SQL, along with a solid foundation in statistics, machine learning, and experimental design.

  •  Strong communication skills with the ability to translate complex analytical findings into actionable business recommendations.
    Preferred

  • Experience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making.

  • Experience building Digital Twins, synthetic personas, synthetic customers, or similar human simulation capabilities.

  • Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation.

  • Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Behavioral Science, Psychology, or a related field.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.