ZipRecruiter

Log In

1

Internship Baseball Data Analytics Jobs in Detroit, MI

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Build analytical models, dashboards, and data products that enable business decision-making ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Orbotech

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Build analytical models, dashboards, and data products that enable business decision-making ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

next page

Showing results 1-20

All JobsBaseball Data Analytics JobsInternship Baseball Data Analytics JobsInternship Baseball Data Analytics Jobs in Detroit, MI

Internship Baseball Data Analytics information

See Detroit, MI salary details

$11

$22

$41

How much do internship baseball data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for internship baseball data analytics in Detroit, MI is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Baseball Data Analytics vs Baseball Data Analyst?

AspectInternship Baseball Data AnalyticsBaseball Data Analyst
CredentialsEnrolled in or recent graduate of relevant programBachelor's or higher in data science, statistics, or related field
Work EnvironmentTemporary, learning-focused, entry-levelFull-time, professional, project-driven
Employer & IndustrySports teams, analytics firms, internships at baseball organizationsMajor league teams, sports analytics companies, research firms

Internship Baseball Data Analytics positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Baseball Data Analysts are experienced professionals responsible for in-depth analysis, reporting, and strategic insights. The internship serves as a stepping stone toward a full-time analyst role in the baseball industry.

What are the most commonly searched types of Baseball Data Analytics jobs in Detroit, MI?

The most popular types of Baseball Data Analytics jobs in Detroit, MI are:

What are popular job titles related to Internship Baseball Data Analytics jobs in Detroit, MI?

For Internship Baseball Data Analytics jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Internship Baseball Data Analytics jobs in Detroit, MI look for?

The top searched job categories for Internship Baseball Data Analytics jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Internship Baseball Data Analytics jobs?

Cities near Detroit, MI with the most Internship Baseball Data Analytics job openings:

Internship Baseball Data Analytics jobs near you
Infographic showing various Internship Baseball Data Analytics job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,339 per year, or $22.3 per hour.

Business Intelligence Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 4 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

Stellantis is seeking a highly skilled Business Intelligence Data Scientist to support advanced analytics within the Business Intelligence and Data Analytics team at the Headquarters & Technology Center in Auburn Hills, Michigan. This role is responsible for applying advanced analytical techniques to large and complex datasets in order to generate actionable insights that inform business decisions related to warranty, cost, quality performance, and operational effectiveness.
The Data Scientist will work with a variety of internal data sources to develop analytical solutions, perform deep exploratory analysis, and support predictive, diagnostic, and prescriptive analytics efforts. The role requires strong analytical thinking, statistical expertise, and the ability to clearly communicate findings to both technical and non-technical stakeholders.
The successful candidate will collaborate closely with Engineering, Quality, Finance, and IT partners and operate with a high degree of independence in a fast-paced, data-driven environment.
Key Responsibilities:
  • Analyze large, complex datasets to identify trends, relationships, risks, and opportunities related to warranty and quality performance
  • Develop and apply advanced statistical, analytical, and data science techniques to support business problem-solving and decision-making
  • Perform exploratory data analysis and root-cause investigations to explain performance drivers and anomalies
  • Design, develop, and maintain robust analytical models, metrics, and methodologies
  • Translate complex analytical results into clear insights, recommendations, and visualizations for stakeholders
  • Partner with cross-functional teams to understand business needs and deliver analytical solutions
  • Ensure analytical outputs are accurate, repeatable, and well-documented
  • Support continuous improvement of analytics processes, tools, and data usage practices
  • Contribute to the development of standardized reporting, metrics, and best practices across the organization

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
  • Relevant internship experience
  • Demonstrated ability to communicate analytical findings clearly to technical and non-technical audiences
  • Excellent problem-solving, organizational, and time-management skills
  • Ability to work independently with minimal supervision

Preferred Qualifications:
  • Master's degree in a quantitative discipline
  • Experience applying predictive, diagnostic, or prescriptive analytics techniques in a business environment
  • Familiarity with data visualization and business intelligence tools (e.g., Power BI, Tableau)
  • Experience working in automotive, manufacturing, quality, or operational analytics environments
  • Experience with working across multiple deployment environments including cloud, on-premises and hybrid, using multiple operating systems
  • Experience translating complex data into clear narratives for leadership decision-making

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply