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Phd In Statistics Jobs in Michigan (NOW HIRING)

OpTech

Scientist-Research Engineer (ML)

Dearborn, MI · On-site

Algorithms & Statistical Analysis * Google Cloud Platform (Google Cloud Platform) or other cloud ... PhD in a related technical field. * Experience in Automotive, Connected Vehicle, EV, Controls ...

Corporate Services

Lead Data Scientist

Detroit, MI

Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. * Master's degree or PhD degree is ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What are popular job titles related to Phd In Statistics jobs in Michigan?

For Phd In Statistics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Michigan look for?

The top searched job categories for Phd In Statistics jobs in Michigan are:

What cities in Michigan are hiring for Phd In Statistics jobs?

Cities in Michigan with the most Phd In Statistics job openings:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Michigan as of July 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Scientist-Research Engineer (ML)

OpTech

Dearborn, MI • On-site

Other

Posted 9 days ago

Job description

Job Summary

We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications.

Key Responsibilities

  • Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data.
  • Build machine learning and physics-informed models to analyze component health and degradation.
  • Process and analyze large datasets using Python, SQL, and cloud platforms.
  • Develop fault detection and anomaly detection solutions for vehicle systems.
  • Perform modeling and simulation using MATLAB/Simulink.
  • Collaborate with cross-functional teams to deploy solutions into production vehicles.
  • Support embedded software implementation in C++ environments.

Required Skills

  • Python
  • SQL
  • C++
  • Data Science & Machine Learning
  • MATLAB / Simulink
  • Algorithms & Statistical Analysis
  • Google Cloud Platform (Google Cloud Platform) or other cloud environments
  • Signal Processing (DSP)
  • Predictive Analytics & Prognostics

Required Qualifications

  • Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
  • 4+ years of experience applying statistical and machine learning techniques.
  • 3+ years of experience with Python and SQL.
  • Experience with predictive modeling, sensor data analysis, and vehicle diagnostics.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • PhD in a related technical field.
  • Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM).
  • Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems.
  • Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.

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