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Intern Nvidia Data Scientist 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, Michigan. 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, Michigan. Your mission, roles and responsibilities Assist in designing, building, and testing machine ...

Crowe LLP

Machine Learning Intern

Grand Rapids, MI · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Grand Rapids, MI · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Intern Responsibilities / Projects: Projects could include: • Perform accurate data entry, data ... Public Health, Public Administration, Data Science, Environmental Health, or a related field ...

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Intern Responsibilities / Projects: Projects could include: Perform accurate data entry, data ... Public Health, Public Administration, Data Science, Environmental Health, or a related field ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Intern Nvidia Data Scientist information

What does an intern Nvidia data scientist do?

An Intern Nvidia Data Scientist works with experienced teams to analyze large datasets, develop models, and create data-driven solutions using machine learning and deep learning techniques. The role often includes tasks like data cleaning, exploratory analysis, model training, and performance evaluation. Interns may also help optimize algorithms for Nvidia hardware platforms and contribute to real-world projects that impact Nvidia’s products and services. This experience provides interns with valuable exposure to cutting-edge AI technologies and industry best practices.

What types of projects can an intern Nvidia data scientist expect to work on?

As a Data Scientist intern at Nvidia, you can expect to work on a variety of projects that leverage large datasets and advanced machine learning techniques. Typical assignments may involve developing models for computer vision, natural language processing, or GPU-accelerated data analytics. You'll likely collaborate closely with experienced scientists, software engineers, and product teams, contributing to both research-oriented and production-focused tasks. These projects offer valuable exposure to real-world challenges and cutting-edge technologies, providing an excellent foundation for future career growth in the field.

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

To thrive as an Intern Nvidia Data Scientist, you need a strong background in statistics, machine learning, programming (Python, R), and a relevant degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, CUDA, and data visualization software is often expected. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These competencies are crucial for successful project contributions, effective teamwork, and leveraging Nvidia's advanced technologies in real-world data science applications.

What is the difference between Intern Nvidia Data Scientist vs Intern Nvidia Data Analyst?

AspectIntern Nvidia Data ScientistIntern Nvidia Data Analyst
Required CredentialsRelevant degree in Data Science, Computer Science, or related field; programming skills in Python, R; basic understanding of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams focusing on advanced analytics, machine learning models, and AI projectsData reporting, visualization, and interpreting data trends for business insights
Employer & Industry UsageUsed across Nvidia's AI, autonomous vehicles, and research divisionsApplied in marketing, sales, and product teams for data-driven decision making

Intern Nvidia Data Scientists focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. Intern Nvidia Data Analysts primarily interpret data and create reports, emphasizing data visualization and business insights. Both roles are valuable in Nvidia's tech environment but differ in technical depth and project scope.

What are the most commonly searched types of Nvidia Data Scientist jobs in Michigan?

The most popular types of Nvidia Data Scientist jobs in Michigan are:

What are popular job titles related to Intern Nvidia Data Scientist jobs in Michigan?

For Intern Nvidia Data Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Intern Nvidia Data Scientist jobs in Michigan look for?

The top searched job categories for Intern Nvidia Data Scientist jobs in Michigan are:

Intern Nvidia Data Scientist jobs near you

Data Science Intern

Faurecia

Auburn Hills, MI • On-site

Internship

Re-posted 21 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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