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Intern Data Scientist Machine Learning Jobs in Detroit, MI

Role: Data Scientists Modeling Location: Dearborn, MI (Hybrid) Duration: Long term Rate: Market ... Develop, train, and evaluate statistical and machine learning models to address specific business ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ...

Data Scientist

Warren, MI ยท On-site +1

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Data Scientist

Warren, MI ยท On-site

$150 - $200/hr

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Machine learning methods (supervised and unsupervised) * Big data analysis (e.g., distributed computing, PySpark) * Proven experience delivering experimentation and decision science projects end-to ...

Machine learning methods (supervised and unsupervised) * Big data analysis (e.g., distributed computing, PySpark) * Proven experience delivering experimentation and decision science projects end-to ...

New

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Strong grasp of machine learning algorithms like: * Regression (linear, logistic) * Causal ...

Data Scientist

Sterling Heights, MI ยท On-site

$100 - $125/hr

Data Scientist Help Build the Data Behind What's Next ArtiFlex is building a proprietary data ... What You'll Do Design, build, and deploy machine learning algorithms, statistical models, and ...

... machine learning where appropriate to support business decisions. Partner with stakeholders to ... Provide technical guidance and support to analysts and junior data scientists on experimental ...

Accelerate the application of value-added analytics and machine learning into the portfolio of products for CEA. * Drive analytic excellence into product teams by collaborating with Data Scientists ...

Accelerate the application of value-added analytics and machine learning into the portfolio of products for CEA. Drive analytic excellence into product teams by collaborating with Data Scientists ...

Showing results 21-40

Intern Data Scientist Machine Learning information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do intern data scientist machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for intern data scientist machine learning in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

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

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Detroit, MI?

The most popular types of Data Scientist Machine Learning jobs in Detroit, MI are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Detroit, MI?

For Intern Data Scientist Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Detroit, MI look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Detroit, MI are:

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI โ€ข On-site

Contractor

Re-posted 2 days ago


Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.