ZipRecruiter

Log In

1

Stats Perform Jobs in Detroit, MI (NOW HIRING)

A2 Ai

Statistician

Ann Arbor, MI · On-site

Perform exploratory data analysis, including cleaning, organization, and visualization, to support pharmacometrics and model-based decisions. Apply statistical methods to deliver insights for ...

A2 Ai

Statistician

Ann Arbor, MI · On-site

Perform exploratory data analysis, including cleaning, organization, and visualization, to support pharmacometrics and model-based decisions. Apply statistical methods to deliver insights for ...

A2 Ai

Statistical Programmer

Ann Arbor, MI · On-site

$75 - $110/hr

Perform dataset validation using Pinnacle 21 (Community and/or Enterprise) and resolve validation ... Bachelor's degree in quantitative sciences, biostatistics, statistics, engineering, data science ...

next page

Showing results 1-20

All JobsStats Perform JobsStats Perform Jobs in Detroit, MI

Stats Perform information

See Detroit, MI salary details

$22K

$90.6K

$152.8K

How much do stats perform jobs pay per year?

As of Aug 30, 2026, the average yearly pay for stats perform in Detroit, MI is $90,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $97,900.00 per year, depending on experience, location, and employer.

What is Stats Perform?

Stats Perform is a global sports technology company that specializes in sports data and artificial intelligence (AI). They provide data, analytics, and insights to sports teams, media, and betting companies to enhance performance, fan engagement, and decision-making. Their services include live sports data, predictive analytics, and AI-driven content solutions across various sports. Stats Perform works with leagues, broadcasters, and digital platforms to deliver real-time data and innovative sports experiences.

How does a role at Stats Perform typically collaborate with data scientists and product teams to deliver sports analytics solutions?

At Stats Perform, professionals frequently work in cross-functional teams alongside data scientists, engineers, and product managers to develop and refine sports analytics products. Collaboration often involves regular meetings to discuss project requirements, share insights from data, and iterate on models or features based on feedback. Team members must communicate complex statistical findings in an accessible way to inform product development and ensure solutions meet the needs of clients, such as broadcasters, teams, or betting operators. This collaborative environment encourages ongoing learning and the chance to contribute to innovative, high-impact analytics projects.

What are the key skills and qualifications needed to thrive as a sports data analyst at Stats Perform, and why are they important?

To thrive as a Sports Data Analyst at Stats Perform, you need strong analytical skills, statistical knowledge, and experience with data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as Python, R, SQL, and sports analytics platforms is essential, along with experience in data visualization software. Exceptional attention to detail, communication, and problem-solving abilities help analysts interpret data and share actionable insights with stakeholders. These skills ensure the accurate delivery of data-driven insights that inform strategy and enhance sports performance analysis.

What is the difference between Stats Perform vs Data Analyst?

AspectStats PerformData Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with sports data and analyticsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentSports analytics companies, media, and broadcasting firmsVarious industries including finance, marketing, healthcare, and sports
Employer & Industry UsageSpecialized in sports data and performance analyticsBroadly used across multiple sectors for data-driven decision making
Common Search & ComparisonOften compared for sports analytics rolesCompared for general data analysis roles

Stats Perform specializes in sports data and analytics, focusing on performance insights for sports organizations and media. Data Analysts have a broader scope, working across various industries to interpret data and support decision-making. While both roles require similar technical skills and educational backgrounds, Stats Perform roles are industry-specific, whereas Data Analysts work in diverse sectors.

What are popular job titles related to Stats Perform jobs in Detroit, MI?

For Stats Perform jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Stats Perform jobs in Detroit, MI look for?

The top searched job categories for Stats Perform jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Stats Perform jobs?

Cities near Detroit, MI with the most Stats Perform job openings:

Stats Perform jobs near you
Infographic showing various Stats Perform job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,592 per year, or $43.6 per hour.

Statistician

A2 Ai

Ann Arbor, MI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Analyze and aggregate large-scale pharmacological and clinical datasets to ensure integrity and usability for drug development. Perform exploratory data analysis, including cleaning, organization, and visualization, to support pharmacometrics and model-based decisions. Apply statistical methods to deliver insights for clinical trial design and program strategy. Standardize data processing workflows and reusable code resources to improve efficiency and consistency. Conduct quality control reviews of datasets, statistical programs, and analytical reports before client delivery. Maintain clear documentation to ensure reproducibility and transparency. Collaborate with cross-functional teams to integrate findings into project planning and execution. Conduct literature reviews to support continuous improvement. Requirements Master's degree (or foreign equivalent) in Data Science, Statistics, Data Analytics, Quantitative Methods, or a closely related field. #J-18808-Ljbffr

Apply