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Data Scientist Electrical Engineer Jobs in Michigan

OneMagnify

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ...

OneMagnify

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You'll work alongside Data Engineering, AI, and cross‑functional teams to design and deploy ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business ...

Rock Connections

Data Scientist

Detroit, MI

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business ...

Optimal Inc.

Electrical Engineer

Warren, MI · On-site

Bachelor's degree in Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Computer Science or a related engineering discipline. At least 5-7 years of experience, closer to 7 is ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience * 3+ years of hands-on ...

Td

Principal Data Scientist (US)

Southfield, MI

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... You will collaborate with Data Engineers and Software Engineers to develop robust analytics ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

Optimal Inc.

Electrical Engineer

Warren, MI · On-site

Bachelor 's degree in Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Computer Science or a related engineering discipline.At least 5-7 years of experience, closer to 7 is ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Oversees and coaches the team of data scientists to run analytical experiments methodically ... Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools ...

Stantec

Electrical Engineer

Berkley, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leads engineering duties on multiple projects of various complexity including data collection and ... Strong knowledge of higher education, science & technology, commercial workplace and/or industrial ...

Stantec

Electrical Engineer

Berkley, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leads engineering duties on multiple projects of various complexity including data collection and ... Strong knowledge of higher education, science & technology, commercial workplace and/or industrial ...

DTE Energy

Expert Data Scientist

Detroit, MI

Oversees and coaches the team of data scientists to run analytical experiments methodically ... Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

  • Medical

  • Dental

  • Life

  • PTO

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science ... Collaborate with Ford's Global Data Insights & Analytics and IT teams. Utilize Python, SQL, and ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field. * 3+ years of experience developing analytical or optimization models in ...

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Showing results 21-40

All JobsData Scientist Electrical Engineer JobsData Scientist Electrical Engineer Jobs in Michigan

Data Scientist Electrical Engineer information

What are the key skills and qualifications needed to thrive as a data scientist electrical engineer, and why are they important?

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

How does a data scientist electrical engineer typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

What does a data scientist electrical engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

Can an electrical engineer work as a data scientist?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.

What are popular job titles related to Data Scientist Electrical Engineer jobs in Michigan?

For Data Scientist Electrical Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Scientist Electrical Engineer jobs in Michigan look for?

The top searched job categories for Data Scientist Electrical Engineer jobs in Michigan are:

What cities in Michigan are hiring for Data Scientist Electrical Engineer jobs?

Cities in Michigan with the most Data Scientist Electrical Engineer job openings:

Data Scientist Electrical Engineer jobs near you
Infographic showing various Data Scientist Electrical Engineer job openings in Michigan as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Data Scientist

OneMagnify

Detroit, MI • On-site

Full-time

Posted 25 days ago

Job description

Data Scientist
Role Summary
OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. This role is a fit for someone who wants to do serious technical work and see it matter in the real world.
The Impact You'll Have
The clients you'll support are making high-stakes decisions about customers, markets, and products. Your models, including forecasting demand, segmenting audiences, and optimizing spend, become the analytical backbone of how they operate. When your work is right, it drives measurable outcomes. When it's wrong, someone notices. That accountability is part of what makes this role interesting.
You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That means writing code and documentation that others can reproduce, maintain, and extend. Shipping a model is the beginning, not the end. Cross-functional collaboration with engineering, strategy, and delivery teams is part of the daily rhythm, and your ability to translate between technical and business contexts will be used constantly.
The work spans industries and problem types (automotive, retail, financial services, and more) so you'll develop breadth alongside depth. You'll rarely work on the same type of problem twice in a row.
What You'll Do
Build and validate analytical models
  • Design, deploy, and monitor models including forecasting, classification, regression, and segmentation
  • Conduct A/B testing and causal analyses with rigorous experimental design and clear documentation
  • Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure reproducibility across the full model lifecycle

Own data integration and quality
  • Integrate data from multiple sources and develop data-quality reporting that surfaces issues before they become client problems
  • Conduct root-cause analysis on data anomalies and validate database changes prior to release
  • Use Databricks for large-scale data processing and machine learning workflows

Translate requirements into technical solutions
  • Partner with business and engineering teams to elicit requirements, define business rules, and turn them into technical specifications
  • Document solutions clearly enough that someone else can maintain and extend your work
  • Ensure alignment between what clients ask for and what gets built

Communicate findings to varied audiences
  • Synthesize and present analytical findings to internal and external stakeholders, including executive-level audiences, with the judgment to handle complex or sensitive inquiries with care
  • Build metrics and KPI reports that inform real business decisions, not just dashboards that get ignored
  • Prepare visualizations in Tableau and Power BI that make complex outputs accessible

Support collaborative development
  • Use Git/GitLab for version control, reproducibility, and collaborative code development
  • Collaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow
  • Adhere to data governance, privacy, and compliance standards across all work

What You'll Need
  • BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related quantitative field - or equivalent practical experience
  • 2-5+ years of hands-on analytics including predictive modeling, A/B testing, and optimization
  • Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and data warehouses
  • Hands-on experience with Databricks for large-scale data processing and machine learning workflows
  • Proficiency with Tableau and/or Power BI for visualization and reporting
  • Experience with Git/GitLab for version control and collaborative development
  • Strong Excel and PowerPoint skills
  • Proven ability to present analyses to management and collaborate with both business and technical stakeholders
  • Experience diagnosing and resolving data-quality issues across multiple platforms
  • Understanding of data governance, privacy, and compliance standards
  • Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration

Future-Ready Skills (Nice to Have)
  • Proficiency with SAS or R in an applied analytics environment
  • Familiarity with automotive or VIN data and complex industry-specific data structures
  • Exposure to AI-enabled analytics workflows or automation within a data science context
  • Experience working in integrated marketing, consulting, or digital services environments where analytics supports client-facing delivery

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