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Data Science Psychology Jobs (NOW HIRING)

... psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered. * 2+ ...

... psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered. * 2+ ...

... data sets to enhance comprehension of target audience behaviors and reactions. Required Qualifications: * Degree in Behavioral Science, Psychology, Sociology, Anthropology, or a related field

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Scientist Foods CTI

Englewood Cliffs, NJ ยท On-site

$71K - $107K/yr

Bachelor's Degree required, preferably in Food Science, Data Science, Chemistry, Biology Science, Psychology or similar discipline preferred. * 2+ years of experience in CTI/Claims (Consumer research ...

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field ...

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field ...

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field ...

Bachelor's degree in social work, health science, psychology, or an allied social or behavioral science or two years experience in excel data management. Supervisory experience required with ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

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Data Science Psychology information

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$37.5K

$122.7K

$196.5K

How much do data science psychology jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data science psychology in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Psychology vs Data Analyst?

AspectData Science PsychologyData Analyst
Required CredentialsBackground in psychology, data analysis, programming, statisticsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentResearch settings, healthcare, tech companies, academiaBusiness, finance, marketing, healthcare industries
Employer & Industry UsageUniversities, research institutions, healthcare organizationsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Psychology combines psychological principles with data analysis skills to interpret human behavior, often in research or healthcare. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Data Science Psychology emphasizes psychological knowledge alongside data expertise, making it ideal for roles involving human-centered data analysis.

What are the key skills and qualifications needed to thrive as a Data Science Psychologist, and why are they important?

To thrive as a Data Science Psychologist, you need a strong foundation in statistical analysis, psychological research methods, and data interpretation, typically supported by degrees in psychology and data science or related certifications. Familiarity with programming languages like Python or R, experience with machine learning algorithms, and proficiency in data visualization tools such as Tableau or Power BI are commonly required. Strong critical thinking, communication, and collaboration skills help translate complex data insights into actionable psychological recommendations. These abilities are crucial for effectively leveraging data to understand human behavior and inform evidence-based interventions in organizational or clinical settings.

What is data science psychology?

Data science psychology is an interdisciplinary field that combines principles of psychology with data science techniques to analyze and interpret complex behavioral data. Professionals in this area use statistical models, machine learning, and data visualization to uncover insights about human behavior, cognition, and mental processes. The goal is to improve psychological research, enhance mental health interventions, and inform decision-making in areas like marketing, health care, and education.

How do data scientists working in psychology typically collaborate with researchers and clinicians?

Data scientists in psychology frequently work alongside researchers and clinicians to design studies, analyze behavioral data, and interpret findings. Collaboration often involves translating complex psychological questions into data-driven approaches, cleaning and processing large datasets, and communicating technical results in accessible terms. Regular meetings and interdisciplinary teamwork are common, ensuring that insights from data analysis directly inform experimental design and clinical practice. This environment fosters continuous learning and mutual understanding across both data science and psychology disciplines.
More about Data Science Psychology jobs
What cities are hiring for Data Science Psychology jobs? Cities with the most Data Science Psychology job openings:
What states have the most Data Science Psychology jobs? States with the most job openings for Data Science Psychology jobs include:
Infographic showing various Data Science Psychology job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Knowmadics

Wichita, KS โ€ข On-site

Full-time

Posted 23 days ago


Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work collecting data, developing solutions to real-world problems using machine learning. Developed solutions are actively being productionized to support ongoing cybersecurity initiatives and other crucial infrastructure and security needs.
Duties and Responsibilities
  • Collaboratively develop data collection processes designing experiments to ensure quality and usefulness of data
  • Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data
  • Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers
  • Support documentation of analysis results for semi-technical stakeholders
  • Occasionally support technical interactions like collaboration, including defining technical requirements for external data collections, and reviewing technical work

Qualifications
  • Minimum
    • Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered.
    • 2+ years professional experience with an open-source data science stack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3, etc.)
    • 2+ years professional experience working with real-world, complex datasets
    • Experience communicating technical results to semi-technical audience
  • Preferred
    • Exposure to product-driven machine learning organization with deployed customer facing capabilities
    • Exposure to big data environment including tools for large-scale data storage and sensor-based data collection workflows
    • Experience with RF/Telecommunications physics, cybersecurity, or space operations
    • Experience with UAS operations, with Part 107 Remote Pilot Certification preferred

Working conditions
  • Employees may be called upon to participate in in-person meetings, trainings, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Some weekend work may be required based on project deadlines or operational needs.
  • Estimated Travel: 30-40%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None