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How much do entry level behavioral data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level behavioral data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Behavioral Data Scientist, and why are they important?

To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.

What types of projects do entry level behavioral data scientists typically work on, and how do they collaborate with other teams?

Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.

What is an Entry Level Behavioral Data Scientist?

An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.
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Entry Level Behavioral Data Scientist jobs near you
Infographic showing various Entry Level Behavioral Data Scientist job openings in the United States as of May 2026, with employment types broken down into 5% Full Time, 90% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Xavier University of Louisiana

New Orleans, LA • On-site

Full-time

Posted 14 days ago

Job description

Posting Details
Posting Summary
Position Title
Data Scientist
FLSA
Exempt
Department
Department Of Chemistry
Job Summary
Xavier University of Louisiana is accepting applications for a Data Scientist. The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans. AA/EOE
Minimum Qualifications
Requirements:
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Preferred Qualifications
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Special Requirements Summary
Work Hours
Monday thru Friday 8:00am until 5:00pm
KSA's
Knowledge, Education, Experience, and Proficiencies
PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/ Bioinformatics/Public Health or other quantitative sciences
Essential Duties and Responsibilities
Essential Duties and Responsibilities Description
The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans.
Posting Detail Information
Posting Number
S368P
Number of Vacancies
1
Desired Start Date
03/04/2024
Position End Date (if temporary)
Posting Date
02/06/2024
Application Review Date
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
Attach online only your resume, cover letter, transcripts and contact information for 3 references.
Quicklink for Posting
https://jobs.xula.edu/postings/2990
About Xavier
About Xavier
Founded in 1925 by Saint Katharine Drexel and the Sisters of the Blessed Sacrament, Xavier is Catholic and historically Black. Located in New Orleans, the ultimate purpose of the University is to contribute to the promotion of a more just and humane society by preparing its students to assume roles of leadership and service in a global society. This preparation takes place in a diverse learning and teaching environment that incorporates all relevant educational means, including research and community service.

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