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Data Science Psychology Jobs (NOW HIRING)

Nextdoor

Data Scientist - Search

San Francisco, CA · On-site +1

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 ...

Nextdoor

Data Scientist - Search

OR · On-site +1

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 ...

The Ascendancy Group

Behavioral Scientist

Tampa, FL · On-site

$33.25 - $41.75/hr

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

Nelnet, Inc.

Senior Data Scientist

$63K - $127K/yr

... Science model performance. 8. Act as a subject matter expert within the data science field ... Optimization, Psychology, or Economics) or Programming discipline. EXPERIENCE : 1. 2+ years of ...

Velera Health

Data Scientist I - Remote

$84K - $108K/yr

Bachelors degree in Operations Research, Statistics, Mathematics, Computer Science, Physics or ... Through a remote-first, flexible environment, we prioritize psychological safety, wellbeing and ...

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All JobsData Science Psychology Jobs

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:
What job categories do people searching Data Science Psychology jobs look for? The top searched job categories for Data Science Psychology jobs are:
Data Science Psychology jobs near you
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 & Analytics (Nashville, TN)

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,585 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

Job description

Now Brewing - Data Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Scientist, you'll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You'll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows.
As a Data Scientist, you will...
  • Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
  • Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
  • Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.

We'd love to hear from people with:
  • 1+ year of experience in data science, applied analytics, or related work
  • BA/BS or equivalent experience
  • Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
  • Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
  • Strong communication skills and attention to detail

Preferred qualifications
  • Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
  • Advanced degree (MS or PhD) preferred.
  • Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
  • Experience supporting model measurement/monitoring through dashboards and performance reporting

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.

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