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Intern Nvidia Data Scientist Jobs in Michigan (NOW HIRING)

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

Description Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various ...

GenAI Intern

Auburn Hills, MI

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on ...

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on ...

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Intern Nvidia Data Scientist information

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 types of projects can an intern expect to work on as a Data Scientist at Nvidia?

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 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 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:
Internship, Data Science

Internship, Data Science

Padagis LLC

Wyoming, MI • Hybrid

$27/hr

Part-time

Posted 8 days ago


Job description

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects involving both technical teams and functional business teams.

This position is targeting a minimum of 20 hours per week hybrid/on-site (up to 40 hours), minimum ending in August 2026, commitment beyond August is highly desired and flexible with academic commitments.

Job duties:

  • Data flow investigation and documenting mapping in various systems
  • Business process workflow mapping, document design creation
  • Potential dashboard creation using Power BI desktop
  • Supporting our Master Data and Robotic Process Automations (RPA) teams with various needs

    Required qualifications:

    • Incoming juniors, seniors or graduate students
    • Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or high interest in a non-technical department, such as:  Operations Finance, Supply Chain, Commercial, etc
    • High openness to experiences, naturally inquisitive, and proactively seeks to understand and has determination to root-cause analyze
    • Inherently a strong communicator: the ability to explain complex technical concepts in simple terms to non-technical stakeholders, and conversely, to articulate business needs to technical teams.
    • Available to work a minimum of 20 hours/week up to 40 hours, duration is negotiable

          Preferred qualifications:

          • Exposure to SAP ERP
          • Coding in Python, SQL, VB or R for statistical modelling and integrations into BI platforms (desired, but not required)

          Padagis Core Competencies:

          Since its beginning, Padagis has been undergoing the process of identifying what we believe will lead to the success of our organization in a competitive landscape. To that end, we have developed a set of five “core” competencies. We strive to bring employees on board the journey with us who exemplify these key competencies:

          • Service delivery – Understand who your internal and external customers are, identify their needs, and deliver value above their expectations…
          • Active collaboration – Seek opportunities to work together across teams, function, business units, and geographies to seek success…
          • Demonstrate agility – Proactively identify changes in our environment and act quickly, leading or embracing change…
          • Think differently – Create, develop, and implement new ideas, products, services, or processes that involve introducing something new or significantly improving something that already exists…
          • Excellent execution – Achieve outstanding results in all aspects of our organization, including our culture, leadership, strategy, and processes…

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          About Padagis

          Sourced by ZipRecruiter

          Industry

          Pharmaceutical and medicine manufacturing

          Company size

          201 - 500 Employees

          Headquarters location

          Allegan, MI, US

          Year founded

          2004