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Internship Behavioral Data Science Jobs in Atlanta, GA

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

... data science techniques. In addition, he/she will be responsible for applying advanced statistical analysis tools and techniques to explain operating behaviors, understand complex relationships ...

... data science techniques. In addition, he/she will be responsible for applying advanced statistical analysis tools and techniques to explain operating behaviors, understand complex relationships ...

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ... Stay updated on the latest data science tools, techniques, and trends through ongoing professional ...

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

This role bridges behavioral data science (understanding how players interact with games) and production ML engineering (deploying models that actually reach decision-makers). It feeds game designers ...

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

The team combines behavioral science, organizational research, advanced analytics, and artificial ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

The team combines behavioral science, organizational research, advanced analytics, and artificial ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Analyze customer, merchant, application, product, behavioral, and operational data to identify ... Translate business objectives into data science solutions that improve customer acquisition ...

Senior Data Scientist

Alpharetta, GA · On-site

$140 - $190/hr

Analyze customer, merchant, application, product, behavioral, and operational data to identify ... Translate business objectives into data science solutions that improve customer acquisition ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

... behavior --including insider trading, market manipulation, off-channel communications, MNPI ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

... financial domain behavior -including insider trading, market manipulation, off-channel ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

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Internship Behavioral Data Science information

See Atlanta, GA salary details

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How much do internship behavioral data science jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship behavioral data science in Atlanta, GA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What is an internship in behavioral data science?

An Internship in Behavioral Data Science is a temporary, practical training position where students or recent graduates gain hands-on experience analyzing human behavior using data science techniques. Interns typically work with large datasets to identify patterns, design experiments, and apply statistical or machine learning methods to understand how people make decisions. This role often involves collaborating with multidisciplinary teams to translate findings into actionable insights for businesses, healthcare, public policy, or technology. The internship provides valuable exposure to real-world projects and can be a stepping stone to a full-time career in behavioral data science.

What is the difference between Internship Behavioral Data Science vs Behavioral Data Scientist?

AspectInternship Behavioral Data ScienceBehavioral Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree programs (e.g., Data Science, Psychology, Statistics)Bachelor's or Master's in Data Science, Psychology, Statistics, or related fields; often requires experience or advanced degrees
Work EnvironmentInternship setting, often in tech or research companies, with mentorship and trainingFull-time role in tech, finance, or healthcare industries, with independent project responsibilities
Employer & Industry UsageUsed by companies to evaluate potential talent and provide training opportunitiesEmployed to analyze behavioral data, develop models, and inform business decisions

In summary, Internship Behavioral Data Science positions are entry-level, focused on learning and skill development, while Behavioral Data Scientists are experienced professionals responsible for analyzing behavioral data and creating models to support organizational goals.

What types of projects do interns typically work on in a behavioral data science internship?

Interns in Behavioral Data Science often contribute to projects involving the analysis of user behavior data, designing and running experiments (such as A/B tests), and assisting with data visualization to communicate findings. You may collaborate closely with data scientists, UX researchers, and product managers to interpret behavioral patterns and help inform business or product decisions. This hands-on experience provides a strong foundation in both technical analytics and understanding the psychological factors that drive user actions.

What are the key skills and qualifications needed to thrive as an intern in behavioral data science?

To thrive as an Internship Behavioral Data Science, you need a solid background in statistics, data analysis, and behavioral science concepts, often supported by coursework in psychology, data science, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and experience using data visualization platforms like Tableau or Power BI are typically required. Strong analytical thinking, curiosity, and effective communication skills make candidates stand out in this position. These skills and qualities are crucial for translating complex behavioral data into actionable insights that inform business or research decisions.
What are the most commonly searched types of Behavioral Data Science jobs in Atlanta, GA? The most popular types of Behavioral Data Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Internship Behavioral Data Science jobs? Cities near Atlanta, GA with the most Internship Behavioral Data Science job openings:
Infographic showing various Internship Behavioral Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,014 per year, or $21.6 per hour.

Full-time

Posted 3 days ago

New


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Company rating: 7.5 out of 10

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Job description

About Us
Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions in the University System of Georgia. UNG is focused on a mission of educational excellence, leadership development and community engagement opportunities that develop students into leaders for a diverse and global society. Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus.
Job Summary
The University of North Georgia is accepting applications for a Data Scientist. The Data Scientist supports the University of North Georgia's strategic priorities by applying advanced statistical analysis, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic decision-making, operational excellence, institutional effectiveness, and student success. The Data Scientist collaborates across the university to solve complex analytical challenges while coordinating and mentoring Data Science interns participating in the Analytics & Innovation Incubator.
Please be advised that any offer of employment is contingent upon your eligibility to work in the United States. The university is aware of recent federal changes that may significantly increase the cost of filing H-1B visa petitions.
As a public institution, the university's ability to cover such costs is subject to budgetary constraints and state funding policies. Therefore, while we remain committed to supporting international faculty hires, we cannot guarantee payment of any newly imposed or increased visa-related fees.
If you have any questions regarding the visa policy, please contact Monica Arrendale at (706) 867-4470.
Responsibilities
  • Advanced Analytics & Predictive Modeling - Develops statistical, predictive, and machine learning models that support enrollment management, student success, retention, graduation, workforce planning, finance, institutional effectiveness, and other strategic initiatives
  • Forecasting & Quantitative Research - Designs and conducts forecasting studies, scenario analyses, and quantitative research using advanced analytical techniques such as regression, classification, clustering, survival analysis, time-series forecasting, optimization, and related methodologies to support strategic planning and executive decision-making.
  • Exploratory Data Analysis & Methodology - Conducts exploratory data analysis to identify patterns, trends, anomalies, and opportunities across institutional data while developing, validating, documenting, and refining analytical methodologies, model assumptions, and research findings to ensure transparency and reproducibility.
  • Institutional Collaboration & Consulting - Collaborates with university leadership, functional offices, Institutional Research, Information Technology, faculty collaborators, and members of Strategic Impact & Engagement to identify analytical opportunities, translate business questions into quantitative solutions, and communicate findings through reports, presentations, and executive briefings.
  • Analytics & Innovation Incubator Leadership - Coordinates and mentors undergraduate and graduate Data Science interns participating in the Analytics & Innovation Incubator by assigning projects, reviewing analytical work, providing technical guidance, and fostering professional development.
  • Innovation & Continuous Improvement - Researches, evaluates, and applies statistical methodologies, machine learning approaches, and artificial intelligence capabilities to strengthen the university's analytical capacity while supporting the continued evolution of the UNG NEST.
  • Professional Development & Other Duties - Maintains current knowledge of developments in data science, higher education analytics, and institutional research through professional development activities and performs other duties as assigned.

Knowledge, Skills, & Abilities
  • Advanced knowledge of statistical analysis, predictive modeling, supervised and unsupervised machine learning, and quantitative research methodologies.
  • Proficiency using analytical programming languages such as Python or R and familiarity with SQL for data analysis.
  • Strong understanding of forecasting, regression, classification, clustering, optimization, survival analysis, and related analytical techniques.
  • Strong analytical reasoning, critical thinking, documentation, and problem-solving skills.
  • Ability to communicate complex analytical findings clearly to technical and non-technical audiences through reports, presentations, and data visualizations.
  • Ability to manage multiple analytical projects while collaborating effectively across multidisciplinary teams.
  • Ability to mentor student researchers and foster professional development within the Analytics & Innovation Incubator.

Required Qualifications
  • Master's degree from an accredited institution in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, Industrial Engineering, Operations Research, Analytics, or a closely related quantitative discipline
  • Minimum 2 years experience applying statistical analysis, predictive modeling, machine learning, and quantitative research techniques within higher education, government, healthcare, business, or a comparable analytical environment.
  • Experience developing analytical models that support strategic decision-making using large, complex datasets.
  • Experience using analytical programming languages such as Python or R and SQL for data analysis.

Preferred Qualifications
  • Preferred: Doctoral degree in a related quantitative discipline.
  • Preferred Qualifications Experience in higher education analytics or institutional research. Experience supporting enrollment management, student success, retention, graduation, finance, workforce planning, or institutional effectiveness initiatives. Experience with Microsoft SQL Server, Power BI, or similar enterprise analytics platforms. Experience mentoring interns, graduate assistants, or junior analysts. Experience applying machine learning and artificial intelligence to solve complex organizational problems. Knowledge of FERPA, data governance principles, and ethical use of institutional data.

Required Documents to Attach
  • Resume
  • Cover Letter
  • Unofficial Transcripts
  • Contact Information for Three Professional References

USG Core Values
The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct .
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 .
Institutional Values
The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of academic excellence in a student-focused environment that includes quality education, service, research, and creativity. This is accomplished through broad access to comprehensive academic and co-curricular programs that develop students into leaders for a diverse and global society. The University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
Conditions of Employment
Offers of employment are contingent upon completion of a background investigation including a criminal background check demonstrating your eligibility for employment with the University of North Georgia, as determined by University of North Georgia in its sole discretion, confirmation of the credentials and employment history reflected in your application materials and, if applicable, a satisfactory credit check. Applicants may be subject to a pre-employment drug test.
Equal Employment Opportunity
The University of North Georgia, a unit of the University System of Georgia, is an Affirmative Action/Equal Opportunity employer and does not discriminate on the basis of race, color, gender, sex or national origin, age, disability, religion, genetics or veteran status. Georgia is an open records state. Also, UNG is a federal contractor and desires priority referrals of protected veterans.
Other Information
  • This is not a supervisory position.
  • This position does not have any financial responsibilities.
  • This position will not be required to drive.
  • This role is considered a position of trust.
  • This position does not require a purchasing card (P-Card).
  • This position will not travel
  • This position does not require security clearance.

Please note: the University of North Georgia career board updates daily, positions are subject to be removed without prior notice or before the posting expires.
Background Check
  • Position of Trust + Education

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About Georgia Tech

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Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with great economic and cultural strengths. The Institute is a member of the University System of Georgia, the Georgia Research Alliance, and the Association of American Universities. Georgia Tech prides itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion.

Industry

Education and colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US