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Internship Behavioral Data Science Jobs in Farmington, MN

Conch Technologies

Data Scientist

Minneapolis, MN · On-site

Data Science / Machine Learning Project-level containerized stacks managed through Nexus Coco+ and ... Ability to communicate technical concepts, analytical findings, system behavior, and model ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

... emerging signals, and behavioral shifts that inform enterprise decisions and improve operational processes. This role also plays an important part in moving data science solutions from ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

Oncodea

Molecular Diagnostics Associate

Saint Paul, MN · On-site

A link to code or a screenshot is welcome but not required. 5. Bioinformatics or data-science exposure Share any coursework, project, or internship where you worked with biological or clinical data ...

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

As of Sep 1, 2026, the average hourly pay for internship behavioral data science in Farmington, MN is $22.72, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 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 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 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 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 job categories do people searching Internship Behavioral Data Science jobs in Farmington, MN look for?

The top searched job categories for Internship Behavioral Data Science jobs in Farmington, MN are:

What cities near Farmington, MN are hiring for Internship Behavioral Data Science jobs?

Cities near Farmington, MN with the most Internship Behavioral Data Science job openings:

Internship Behavioral Data Science jobs near you

Data Scientist

Conch Technologies

Minneapolis, MN • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Hi  
Greetings from Conch Technologies Inc
Position:  Data Scientist
LOCATION: Hybrid Minneapolis, MN 
REMOTE in following states: AR, AZ, DE, FL, GA, IA, IL, KS, KY, MD, ME, MI, MN, MO, ND, NE, OK, SD, TN, TX, VA, WI
DURATION: 6+ Months Contract
 
Technical Skills Required:
Data Science / Machine Learning
Project-level containerized stacks managed through Nexus
Coco+ and VSCode as primary IDE/tooling environments
Snowflake
Azure
ChatGPT
A proprietary DataScience CLI providing tooling, libraries, and access management
Standard libraries packaged through the DataScience CLI and Nexus
Required qualifications
Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
3+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline.
Experience developing machine learning or statistical solutions for complex, real-world business problems.
Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling.
Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS.
Strong SQL skills and experience working with large relational or analytical data platforms.
Experience using source control and collaborative software development practices.
Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses.
Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders.
 
Thanks & Regards,
 
Nayak Teketi | US IT Recruiter
 | 901-317-3453
Conch Technologies, Inc | 

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