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Internship Behavioral Data Science Jobs in Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

... internship, must be currently enrolled pursuing your bachelor's or master's degree in one of the below areas of study: Preferred majors: Public Health, Public Administration, Data Science ...

Develop and evangelize best practices for statistical or behavioral models * Drive the collection ... Master's degree in mathematics, statistics, computer science or a related field or equivalent ...

Develop and evangelize best practices for statistical or behavioral models * Drive the collection ... Master's degree in mathematics, statistics, computer science or a related field or equivalent ...

Digital Analyst Internships

Kalamazoo, MI

$93K - $110K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Lansing, MI

$99K - $118K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Ann Arbor, MI

$96K - $114K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Detroit, MI

$97K - $115K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Warren, MI

$92K - $109K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

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Internship Behavioral Data Science information

Is 40 too late for data science?

The Internship Behavioral Data Science role typically targets students or early-career professionals, but age is not a strict barrier. Many data scientists start their careers later or transition from other fields, and acquiring skills in programming, statistics, and tools like Python or R can enable success regardless of age.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning tools, and programming languages like Python or R to interpret large datasets and develop models that predict or explain behavior in various contexts such as marketing, user experience, or organizational settings.

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 are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in data science, finance, and business analytics. Interns often gain exposure to real-world projects, develop technical skills, and may have opportunities for full-time employment afterward.

Is 20 an hour good for an internship?

For an internship in behavioral data science, $20 an hour is generally considered above average, as many internships pay between $15 and $20 per hour. However, pay can vary based on location, company size, and required skills such as data analysis and programming. It's also important to consider the experience gained and whether the internship offers additional benefits or networking opportunities.

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 Internship Behavioral Data Science, and why are they important?

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 Michigan? The most popular types of Behavioral Data Science jobs in Michigan are:
What cities in Michigan are hiring for Internship Behavioral Data Science jobs? Cities in Michigan with the most Internship Behavioral Data Science job openings:

Data Scientist / Advanced Analytics Specialist

Tata Consultancy Service Limited

Auburn Hills, MI • On-site

$90K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Must Have Technical/Functional Skills
• Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)
• Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting
• Proficiency in Python and SQL
• Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large-scale enterprise datasets
Roles & Responsibilities
Data Science & Analytics
• Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets
• Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques
• Design, build, and deploy machine learning models for predictive and prescriptive analytics
• Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes
• Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions
• Design and analyze experiments and A/B tests to measure business impact
• Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
• Implement Retrieval-Augmented Generation (RAG) patterns where applicable
• Troubleshoot data quality, model behavior, and workflow issues
Stakeholder & Delivery Engagement
• Work closely with stakeholders in customer-facing and consulting environments
• Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences
• Support adoption and value realization of analytics and AI solutions
Generic Managerial Skills, If any
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
Base Salary Range: $90,000 - $115,000 per annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional G rowth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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