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Predictive Analytics Jobs in Michigan (NOW HIRING)

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. * Integrate data from various systems, such as MES, ERP, and IoT devices ...

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. * Integrate data from various systems, such as MES, ERP, and IoT devices ...

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 ...

Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science Experience Required:5+ experience in relevant fieldUndertake statistical modeling, predictive analytics ...

Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness. * Write and optimize SQL queries and leverage Python or other analytical tools to ...

Showing results 21-40

Predictive Analytics information

See Michigan salary details

$23.5K

$98.2K

$174.8K

How much do predictive analytics jobs pay per year?

As of Aug 21, 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:

Infographic showing various Predictive Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $98,248 per year, or $47.2 per hour.

Predictive Logistics Systems Engineer (Engineer 3) - 28504

Huntington Ingalls Industries

Warren, MI • On-site

$83.59 - $115/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,816 frontline employees who took The Breakroom Quiz


Job description

Requisition Details

Requisition Number: 28504

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $83,592.00 – $115,000.00

Security Clearance: Ability to Obtain

Level of Experience: MidHI

About the Opportunity

This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. ADO comprises multi-domain operations, platforms and logistics, and intelligence operations.

HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision‑making.

Position Summary

HII Mission Technologies is seeking a Skilled Predictive Logistics Systems Engineer to support advanced technology evaluation and integration efforts for the Program Executive Office Combat Support & Combat Service Support (PEO CS&CSS), Project Lead Integration (PL‑I). In this role, you will help modernize Army ground vehicle maintenance, readiness, and safety by supporting the development and fielding of Predictive Logistics (PL) and Prognostics & Predictive Maintenance (PPM) capabilities.

You will collaborate closely with government, industry, and research partners; lead technical evaluations; support hardware prototyping; and contribute to Army-wide digital transformation efforts. This role is on‑site in Warren, MI.

What You Will Do
  • Serve as a technical SME supporting PL‑I in the evaluation, development, and integration of Predictive Logistics technologies across Army ground vehicle platforms.
  • Assist with integration efforts involving vehicle data buses, data loggers, wireless data transfer, and digital maintenance solutions.
  • Support the Army’s PL Overarching Integrated Project Team (OIPT), collaborating with stakeholders across AFC, AMC, ASA(ALT), CASCOM, and other organizations.
  • Provide briefings and technical updates to leadership on engineering, analysis, and PL integration progress.
  • Evaluate commercial and government predictive maintenance and CBM+ technologies for Army applications, including hands‑on support during soldier testing and assessments.
  • Lead rapid prototyping efforts, including design, fabrication, and testing of communication and power harnesses to ensure seamless integration with Army vehicle architectures.
  • Support NDAA Section 389 safety initiatives by enabling secure data retrieval, digital chain‑of‑custody, and system‑level forensic analysis.
  • Conduct research, hardware evaluations, and acquisition support for AI/ML‑enabled logistics and maintenance technologies.
Minimum Qualifications
  • 5 years of relevant experience with a bachelor's degree; or 3 years with a master's; or PhD with no experience.
  • Knowledge of CBM+, PPMx, and predictive maintenance technologies used in ground vehicle systems.
  • Experience with systems engineering processes.
  • Strong program management and resource coordination skills.
  • Ability to align and communicate with cross‑functional stakeholders.
  • Ability to obtain and maintain a Secret security clearance (U.S. citizenship required).
Preferred Requirements
  • Experience with Prognostics/Predictive Maintenance (PPMx) or Condition‑Based Maintenance Plus (CBM+).
  • Background in Reliability, Availability, and Maintainability (RAM) engineering.
  • Life cycle systems engineering or product support analysis experience.
Physical Requirements
  • Office or industrial environment.
Benefits

We offer competitive benefits such as best‑in‑class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post‑secondary education scholarships. Bonus/other non‑recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

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Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.


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