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Predictive Analytics Jobs in Michigan (NOW HIRING)

Ra

Customer Analytic Manager

Detroit, MI · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Munich Re

Actuarial Data Scientist (FCAS)

Gaylord, MI · On-site +1

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Munich RE

Actuarial Data Scientist (FCAS)

Gaylord, MI · On-site

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Munich Re

Actuarial Data Scientist (FCAS)

Ann Arbor, MI · On-site +1

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden ...

Ford Motor Company

V&V Governance Engineer

Dearborn, MI · On-site

$85K - $150K/yr

Develop dashboards, KPIs/KRIs, audit automation, and quality predictive analytics to identify leading indicators, defect escape risk, evidence risk, and milestone readiness concerns. Drive corrective ...

Ford Motor Company

V&V Governance Engineer

Dearborn, MI · On-site

$85K - $150K/yr

Develop dashboards, KPIs/KRIs, audit automation, and quality predictive analytics to identify leading indicators, defect escape risk, evidence risk, and milestone readiness concerns. * Drive ...

Auto Owners Insurance Company

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ...

Auto-Owners Insurance

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ...

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Predictive Analytics information

See Michigan salary details

$23.5K

$98.2K

$174.8K

How much do predictive analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for predictive analytics in Michigan is $98,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $107,200.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Michigan?

The most popular types of Predictive Analytics jobs in Michigan are:

What are popular job titles related to Predictive Analytics jobs in Michigan?

For Predictive Analytics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Michigan look for?

The top searched job categories for Predictive Analytics jobs in Michigan are:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $98,248 per year, or $47.2 per hour.

OBD Fleet Durability Analytics Engineer

Superior, MI • On-site

Hyundai Motor Company
See more jobs at Hyundai Motor Companyexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

OBD Fleet Durability Analytics Engineer
About Hyundai America Technical Center, Inc. (HATCI)
Hyundai America Technical Center, Inc. (HATCI) serves as Hyundai Motor Group's North American R&D headquarters, supporting Hyundai, Kia, and Genesis products in one of the world's most competitive automotive markets. Our teams drive innovation across product planning, design, engineering, quality, testing, and advanced technology development.
With our main R&D campus in Michigan and additional engineering, development, and proving ground facilities in California, HATCI provides a dynamic environment where ideas accelerate into real-world vehicle advancements.
About the Team
The Emissions and OBD Validation (EMOV) team is part of the Electrified Propulsion division of HATCI. We advance propulsion efficiency and performance across Hyundai, Kia, and Genesis internal combustion and hybrid powertrains, directly shaping the refinement, competitiveness, and technological leadership of the vehicles our customers drive every day. EMOV leads local market testing and validation of engine and electrified propulsion management systems controlling vehicle emissions and diagnostics.
Position Overview
We are seeking an innovative, analytically-minded, and self-driven OBD Fleet Durability Analytics Engineer to join our team in Superior Township, Michigan. In this role, you will drive data-driven decision making for the validation of engine management and on-board diagnostics systems for pre-production vehicles undergoing extensive mileage accumulation and emissions durability testing. You will analyze CAN/XCP parameters collected from our instrumented fleet vehicles to identify failure modes, detect early indicators of component degradation, and validate the robustness of OBD calibrations and engine management calibrations.
This position offers the opportunity to work with data-intensive development programs, advanced calibration technologies, and cross-functional engineering teams. You will help shape the next generation of internal combustion, hybrid, and electrified propulsion systems through rigorous data analysis, predictive analytics, and data-driven insights that directly inform calibration refinement and vehicle durability validation.
WHAT YOU WILL DO
Key Responsibilities
  • Lead data analytics activities for engine management and OBD systems using second-by-second vehicle data collected from long-term fleet testing
  • Develop and execute statistical analysis plans to extract trends, detect anomalies, and identify correlations between operating conditions and system performance degradation
  • Perform predictive analytics modeling to forecast potential failures and validate the effectiveness of OBD diagnostic monitors during extended durability testing
  • Set up instrumentation and monitor fleet vehicles to ensure accurate data acquisition from data loggers (XCP/CAN), reliable test execution, and data integrity
  • Analyze multivariate time-series data using Python, MATLAB, or similar tools to perform root cause analysis on high-occurrence issues and calibration weaknesses
  • Conduct data-driven investigations using statistical hypothesis testing and cross-functional collaboration to evaluate diagnostic trouble codes (DTCs) and OBD monitor robustness
  • Support fleet operation activities including calibration updates, software flashing, diagnostic evaluation, and instrumentation troubleshooting
  • Prepare advanced technical visualizations and dashboards to communicate data findings, trends, and actionable recommendations to calibration engineers and engineering leadership
  • Validate aftertreatment durability and regulatory compliance through analysis of emissions testing data at defined mileage intervals
  • Evaluate emerging data analytics technologies that support enhanced OBD validation, predictive maintenance capabilities, and compliance with evolving emissions regulations
  • Manage fleet data governance including database administration, parameter definition validation, signal quality assurance, and test data archival
  • Plan, coordinate, and track analytics project activities to ensure timely and high-quality execution aligned with program milestones
  • Travel up to 15% both domestically and internationally

Core Competencies
  • Advanced proficiency in Python - data manipulation (Pandas, NumPy), statistical analysis (SciPy, Statsmodels), and time-series analysis frameworks
  • SQL database management - querying, joining, and optimizing large datasets from fleet data loggers
  • Statistical analysis expertise - regression modeling, hypothesis testing, correlation analysis, and multivariate analysis techniques (PCA, clustering)
  • Time-series analytics - trend detection, anomaly identification, and pattern recognition across long-duration vehicle operating data
  • Data visualization - creating technical dashboards and visualizations using Matplotlib, Seaborn, Plotly, or Power BI/Tableau
  • Predictive analytics modeling - machine learning techniques (classification, regression) for fault prediction and OBD monitor validation
  • Strong foundation in engine controls, combustion, and exhaust aftertreatment systems
  • Knowledge of diagnostic trouble code (DTC) development and OBD monitor calibration processes
  • Understanding of EPA and CARB emissions and OBD regulatory requirements and testing procedures
  • Experience with hybrid powertrain operation and associated propulsion control strategies
  • Ability to specify, configure, and operate data acquisition systems and instrumentation for fleet vehicles
  • Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar ECU calibration platforms
  • Strong verbal, written, and interpersonal communication skills
  • Commitment to professional integrity, sound judgment, and responsible handling of sensitive information

WHAT YOU WILL BRING TO THE ROLE
Basic Qualifications
  • B.S. in Mechanical Engineering, Electrical Engineering, Computer Science, or related discipline
  • 2+ years of experience in powertrain calibration, emissions development, OBD-II calibration or system validation
  • Proficiency in Python for data analysis or equivalent programming experience (Pandas, NumPy, SciPy)
  • Working knowledge of automotive communication protocols such as CAN and LIN
  • Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar platforms
  • Knowledge of propulsion system fundamentals including hybrid powertrain operation
  • Familiarity with emissions and OBD regulatory frameworks (EPA, CARB)
  • Experience conducting or supporting emissions testing, OBD monitor development, or vehicle test procedures
  • Strong verbal, written, and interpersonal communication skills
  • Valid driver's license and a satisfactory driving record

Preferred Qualifications
  • M.S. in Mechanical Engineering, Electrical Engineering, Computer Science, or related field
  • 5+ years of experience in emissions development, OBD calibration, and vehicle validation
  • Advanced data analysis proficiency with MATLAB/Simulink, Python (Pandas, Scikit-learn, SciPy), or SQL
  • Experience validating OBD-II features for mass-production launch or durability programs
  • Hands-on experience with fleet data analysis or long-duration time-series data from vehicle testing
  • Familiarity with statistical methods for automotive applications - trend analysis, anomaly detection, multivariate analysis
  • Experience with data visualization tools - Power BI, Tableau, or advanced matplotlib/plotly dashboards
  • Knowledge of machine learning fundamentals - predictive modeling, classification algorithms, or anomaly detection
  • Experience with XCP/CAN data acquisition systems and automotive diagnostic databases (ODX)
  • Cross-functional collaboration experience working with calibration engineers, test engineers, and vehicle development teams

WHAT HYUNDAI CAN OFFER YOU
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off Including Vacation, Sick, and Abundant Holidays
  • Competitive Salaries
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accounts
  • Flexible Work Hours

OTHER DETAILS
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRM Federal contractor.

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