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Data Science Assistant Jobs in Michigan (NOW HIRING)

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Your mission, roles and responsibilities * Assist in designing, building, and testing machine ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Your mission, roles and responsibilities Assist in designing, building, and testing machine ...

Deloitte

Agentic AI, AI & Data Science Engineer

Detroit, MI · On-site

$113K - $136K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ...

New

Domino's Corporate

Data Scientist

Ann Arbor, MI

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Bachelor's degree in Data Science, Mathematics, Statistics, Industrial Operations Engineering ...

New

Domino's

Data Scientist

Ann Arbor, MI · On-site

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Bachelor's degree in Data Science, Mathematics, Statistics, Industrial Operations Engineering ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Bachelor's degree in Data Science, Mathematics, Statistics, Industrial Operations Engineering ...

New

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale ... Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Data Science Assistant jobs in Michigan? For Data Science Assistant jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Michigan look for? The top searched job categories for Data Science Assistant jobs in Michigan are:
What cities in Michigan are hiring for Data Science Assistant jobs? Cities in Michigan with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Data Science Intern

Data Science Intern

Faurecia

Auburn Hills, MI • On-site

Internship

Posted 15 days ago

Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Forvia, a sustainable mobility technology leader
New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, FORVIA anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you're willing to contribute and create value for tomorrow's cleaner and smarter mobility, FORVIA is the place to be.
FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan.
Your mission, roles and responsibilities
  • Assist in designing, building, and testing machine learning models for use cases such as computer vision, predictive maintenance, and anomaly detection.
  • Support the development of end-to-end ML workflows, including data preprocessing, feature engineering, and model evaluation.
  • Collaborate with engineering, manufacturing, and business teams to understand data and contribute to solving practical problems using AI.
  • Help optimize model performance and experiment with different algorithms under guidance from senior team members.
  • Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to develop and test models.
  • Assist in integrating models into applications and workflows alongside data and software engineers.
  • Contribute to exploratory AI initiatives, including generative AI use cases.
  • Document code, experiments, and findings to support reproducibility and knowledge sharing.
  • Stay current with emerging trends in data science and machine learning.

Your profile and competencies to succeed
  • Enrolled in a Bachelor's or Master's degree program
  • Data analysis and excel skills are a plus
  • Majors in computer science, data analysis, or related firld
  • Graduation of 2027 or later
  • Minimum 2.8 GPA

What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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