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Psychology Computer Science Jobs in Texas (NOW HIRING)

$140 - $200/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field * 8+ ... Private medical insurance & psychological support services. * Multi‑awarded workplace (Fortune ...

Foster a culture of engineering excellence, psychological safety, and continuous improvement ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related ...

Foster a culture of engineering excellence, psychological safety, and continuous improvement ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related ...

Bachelor's degree in Design, Psychology, Human Computer Interaction, Computer Science, Data Science, or related field * 10+ years of professional experience in Product Design / User Experience, with ...

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Psychology Computer Science information

See Texas salary details

$52.6K

$77.4K

$91.3K

How much do psychology computer science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for psychology computer science in Texas is $77,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $87,100.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for professionals working in psychology computer science?

Psychology Computer Science professionals often work on projects that integrate behavioral research with computational modeling, such as developing user-centered software, building cognitive simulations, or analyzing large datasets from psychological studies. Daily tasks may include designing experiments, coding algorithms to process behavioral data, and collaborating with psychologists, data scientists, and software engineers. Many roles also involve testing and improving products for usability and accessibility, applying insights from human cognition. These responsibilities allow you to leverage both technical and psychological expertise to solve real-world problems involving human-computer interaction.

What is a psychology computer science?

A Psychology Computer Science job combines principles from psychology and computer science to study human behavior, design user-friendly technology, and develop AI systems that understand cognition. Professionals in this field work on areas such as human-computer interaction, artificial intelligence, cognitive modeling, and mental health technology. They apply psychological theories to improve user experiences, design adaptive systems, and analyze data related to human behavior. These roles are common in UX research, AI development, and neuroscience applications.

What are the key skills and qualifications needed to thrive in the psychology computer science position, and why are they important?

To thrive in Psychology Computer Science, you need a strong background in both psychological theories and computational methods, often supported by a relevant degree such as cognitive science, psychology, computer science, or a combination thereof. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experiment design software is typically required. Critical thinking, effective communication, and collaboration skills are especially valuable for bridging interdisciplinary teams and interpreting complex data. These competencies enable professionals to design, analyze, and implement technology solutions informed by human behavior and mental processes.

What are popular job titles related to Psychology Computer Science jobs in Texas?

For Psychology Computer Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Psychology Computer Science jobs in Texas look for?

The top searched job categories for Psychology Computer Science jobs in Texas are:

What cities in Texas are hiring for Psychology Computer Science jobs?

Cities in Texas with the most Psychology Computer Science job openings:

Infographic showing various Psychology Computer Science job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $77,429 per year, or $37.2 per hour.

Machine Learning Engineer - People Analytics

Apple

Austin, TX • On-site

Full-time

Re-posted 2 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple's employees are able to do the best work of their lives.
Our team is looking for a Machine Learning Engineer who is passionate about crafting, implementing, and operating analytical and machine learning solutions that have direct and measurable impact to Apple and its employees.
As a Machine Learning Engineer on Apple's People Analytics Team, you will employ predictive modeling, statistical analysis, and advanced analytical techniques to support solutions for talent management, employee surveys, compensation, and recruiting.
Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods. On this team, you will push the limits of existing approaches while delivering tangible business value.
Description
As a Machine Learning Engineer on our team will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. They will collaborate with data engineers and system architects to implement these solutions in a production environment, and be responsible for the ongoing analytic operation of these solution.
Minimum Qualifications
MS with 5+ years of professional experience applying data science to real-world business problems
Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
Proficiency in writing SQL queries involving database joins and analytical/window functions
Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
Prior experience working with employee data or HR systems
Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.
Ability to translate business processes and data into an analytic solution.
Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Preferred Qualifications
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with a data science fellowship or prior professional experience as a data scientist
Experience working with employee data or HR systems

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976