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Internship Machine Learning R Jobs in Michigan (NOW HIRING)

HRU Technical Resources

Data Scientist

New Hudson, MI · On-site

Develop and deploy predictive models and machine learning algorithms * Utilize tools such as Python, R, Spark, and cloud-based platforms (e.g., Databricks) * Create data visualizations and reports to ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Primary R esponsibilities * Develop physics-based models to identify aging mechanisms and optimize cell design. * Develop data-driven AI machine learning models to optimize the design of battery cell ...

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

Primary R esponsibilities * Develop physics-based models to identify aging mechanisms and optimize cell design. * Develop data-driven AI machine learning models to optimize the design of battery cell ...

Deloitte

Data Scientist

Lansing, MI · On-site

... Machine Learning role. • 5+ Years of Experience Proficiency in programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Deloitte

Data Scientist

Detroit, MI · On-site

... Machine Learning role. • 5+ Years of Experience Proficiency in programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows • Experience working with cyber security cloud platforms such as Google SecOps ...

CompuCom

Sr. BI/DW Engineer

Lansing, MI · On-site

$90K - $120K/yr

Proficiency in programming languages such as Python, R, or Java Script. * Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). * Familiarity ...

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Internship Machine Learning R information

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

What cities in Michigan are hiring for Internship Machine Learning R jobs? Cities in Michigan with the most Internship Machine Learning R job openings:
Internship Machine Learning R jobs near you
Data Scientist

Data Scientist

HRU Technical Resources

New Hudson, MI • On-site

Other

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

Job description

Data Scientist

The Data Scientist is responsible for analyzing and interpreting complex datasets using statistical techniques, machine learning, and programming to generate actionable insights and solve business problems. This role partners with cross-functional teams to build predictive models, improve data quality, and support data-driven decision-making across the organization.

This is an individual contributor role focused on hands-on technical execution rather than people management.

Key Responsibilities

  • Analyze large volumes of structured and unstructured data to identify trends and insights
  • Develop and deploy predictive models and machine learning algorithms
  • Utilize tools such as Python, R, Spark, and cloud-based platforms (e.g., Databricks)
  • Create data visualizations and reports to communicate insights to technical and non-technical stakeholders
  • Collaborate with data engineers, analysts, architects, and business stakeholders to define requirements and solutions
  • Support data quality improvement efforts and troubleshoot data-related issues
  • Lead or contribute to data science projects, analytics initiatives, and system integrations
  • Document solutions and support tracking of incidents, changes, and enhancements
  • Mentor team members on data science tools, techniques, and best practices
  • Contribute to the development and execution of the data science roadmap

Required Qualifications

  • Bachelor's degree in a relevant field with 5+ years of experience, or
  • Master's degree with 3+ years of experience
  • Experience working with data science and analytics tools (Python, R, Spark, Databricks, etc.)
  • Strong background in statistical analysis and machine learning
  • Experience working with large datasets and complex data environments
  • Strong problem-solving and analytical skills
  • Ability to communicate insights clearly to technical and business audiences
  • Experience collaborating across cross-functional teams

Preferred Qualifications

  • Experience with Power BI or Microsoft Power Platform tools
  • Familiarity with large language models (LLMs) and AI applications
  • Experience with Retrieval-Augmented Generation (RAG) architectures
  • Experience with front-end application development (e.g., Flask, Gradio)
  • Advanced degree (Master's or PhD)

Industry Background

  • Preferred experience in manufacturing, automotive, industrial, or engineering environments
  • Open to candidates from adjacent industries such as healthcare, retail, or biotech
  • Heavy financial services background is not preferred

Additional Information

  • This is a hands-on individual contributor role (not a leadership or director-level position)
  • Strong emphasis on supply chain-related data and business functions
  • Opportunity to work on complex, high-impact data initiatives

EOE (including Disability/Veterans)

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