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Robust Intelligence Jobs in Detroit, MI (NOW HIRING)

FastTek

Business Intelligence Specialist

Dearborn, MI · On-site

Business Intelligence Specialist #1062067 Position Description: Employees in this job function are ... designing robust analytics solutions through a blend of business acumen, data and analytics ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

You will collaborate with Data Engineers and Software Engineers to develop robust analytics ... intelligence, optimization/simulation techniques, or statistical analysis 3+ years of experience ...

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Showing results 1-20

All JobsRobust Intelligence JobsRobust Intelligence Jobs in Detroit, MI

Robust Intelligence information

See Detroit, MI salary details

$10.9K

$99.6K

$131.7K

How much do robust intelligence jobs pay per year?

As of Aug 30, 2026, the average yearly pay for robust intelligence in Detroit, MI is $99,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $131,200.00 per year, depending on experience, location, and employer.

What is the difference between Robust Intelligence vs Data Scientist?

AspectRobust IntelligenceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fieldsBachelor's or higher in CS, Statistics, or related fields
Work EnvironmentTech companies, AI research labs, product developmentData analysis, modeling, and research in various industries
Employer & Industry UsageAI-focused companies, startups, tech giantsBusiness, finance, healthcare, tech sectors

Robust Intelligence professionals focus on developing resilient AI systems that perform reliably under diverse conditions, often working in AI research and product development. Data Scientists analyze data to extract insights, build models, and support decision-making across multiple industries. While both roles require strong technical skills and a background in data or AI, Robust Intelligence emphasizes system robustness and reliability, whereas Data Scientists focus on data analysis and modeling.

What does Robust Intelligence do?

Robust Intelligence is a company that develops AI and machine learning solutions focused on creating reliable, secure, and scalable systems. Employees in related roles often work with data analysis, model development, and testing to ensure AI performance under various conditions.

What are popular job titles related to Robust Intelligence jobs in Detroit, MI?

For Robust Intelligence jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Robust Intelligence jobs in Detroit, MI look for?

The top searched job categories for Robust Intelligence jobs in Detroit, MI are:

Robust Intelligence jobs near you
Infographic showing various Robust Intelligence job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $99,597 per year, or $47.9 per hour.

Business Intelligence Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 5 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

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