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Data Science Psychology Jobs (NOW HIRING)

Senior Data Science Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating ... This role reports to the Data Science Manager and works closely with a team of senior data ...

$26.66 - $28.48/hr

Bachelor's degree with major in Data Science, Psychology, Statistics, Computer Science or related field, and 0 to 1 year of experience, or an equivalent combination of education and experience ...

$26.66 - $28.48/hr

Bachelor's degree with major in Data Science, Psychology, Statistics, Computer Science or related field, and 0 to 1 year of experience, or an equivalent combination of education and experience ...

Showing results 21-40

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 Aug 11, 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?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science and Engineering Manager

Child Mind Institute

Manhattan, NY โ€ข On-site

Other

Medical, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

Position Details:

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals.


This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization.

Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming.

You Will:

  • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization.
  • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution.
  • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication.
  • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team.
  • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget.
  • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility.
  • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data.

You Have:

  • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required.
  • 8+ years experience in technical project management for software development, data science, or AI/ML research projects.
  • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts.
  • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban).
  • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).
  • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.
  • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities.

#LI-hybrid #LI-remote

Our Benefits

Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.

Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.

We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.

In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).

Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org

This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.