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Data Science Intern Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... data science problems and analytical tasks. • Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives. * Support training and enablement of associates on new ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Facilitate the internal and external data science & AI network * Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic Qualifications: * Master in Data ...

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How much do data science intern jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data science intern in Michigan is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $21.39 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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Data Scientists Modeling

Data Scientists Modeling

Tech Tammina LLC

Dearborn, MI • On-site

Contractor

Posted 26 days ago

Job description

Role: Data Scientists Modeling
Location: Dearborn, MI (Hybrid)
Duration: Long term
Rate: Market

What You'll Do: 
•    Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. 
•    Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. 
•    Translate complex business questions and challenges into well-defined data science problems and analytical tasks. 
•    Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). 
•    Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
•    Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
•    Iterate on models and approaches based on performance feedback and evolving business requirements. 
•    Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.
Skills Required:
•    Demonstrated ability to deal with and process data from real-world sources. 
•    Experience performing Exploratory Data Analysis (EDA). 
•    Experience with model development (statistical modeling, machine learning). 
•    Familiarity with the process of deploying models into production or working alongside teams that do. 
•    Proven ability to translate business questions into data-driven problems.
•    Ability to translate data analysis results and model insights into clear, business-oriented solutions. 
•    Proficiency in at least one major programming language used in data science (e.g., Python, R).
Skills Preferred:
•         Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
•         Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Experience Required:
•         Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).
Experience Preferred:
•         Experience in Auto Industry