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Statistical Data Scientist Jobs in Michigan (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Conducts advanced statistical analysis to determine trends and significant data relationships, and ... Mentors the team of data scientists by guiding their professional development in conjunction with ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... You will develop analytics products using your expertise in visualization, AI/ML, Statistics and ...

DTE Energy

Expert Data Scientist

Detroit, MI

Conducts advanced statistical analysis to determine trends and significant data relationships, and ... Mentors the team of data scientists by guiding their professional development in conjunction with ...

Td

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and ... Python) and techniques for extracting and preparing data, applying statistics and various advanced ...

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 ... Python) and techniques for extracting and preparing data, applying statistics and various advanced ...

GM Financial

Sr Data Scientist

Detroit, MI · On-site

The Senior Data Scientist is responsible for Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk ...

TD

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and ... Python) and techniques for extracting and preparing data, applying statistics and various advanced ...

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 ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Conclusive Marketing

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

OneMagnify

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Ford Motor

Data Scientist - Conversational AI

Dearborn, MI · On-site

$120 - $180/hr

A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics). * Experience: 7+ years of experience in Data Science, Product Analytics, or ...

New

Compunnel

Data Scientist

Grand Rapids, MI · On-site

Job Summary We are seeking an experienced Data Scientist to lead and optimize the AI-driven product ... statistical, and problem-solving skills. • Experience developing dashboards and performance ...

Corporate Services

Lead Data Scientist

Detroit, MI · On-site

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and ... Skilled in using statistical techniques and good at solution architecting, design and implementing ...

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Showing results 21-40

All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in Michigan

Statistical Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do statistical data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for statistical data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What are the key skills and qualifications needed to thrive as a statistical data scientist?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Michigan? For Statistical Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Statistical Data Scientist jobs in Michigan look for? The top searched job categories for Statistical Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Statistical Data Scientist jobs? Cities in Michigan with the most Statistical Data Scientist job openings:
Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Expert Data Scientist

DTE Energy

Detroit, MI • On-site

Full-time

Re-posted 7 days ago

DTE Energy rating

8.6

Company rating: 8.6 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

11th of 53 rated energy and utility

Job description

DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer's homes and Michigan's progress for more than a century. And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier environment to power our future. We're also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.
But we're more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you'll be part of a team that welcomes, recognizes, and celebrates differences and values everyone's health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.
Testing Required: Not Applicable
Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an assigned work location. Any remote work is expected to be performed from an employee's primary residence, unless allowed (or prohibited) through the Company's remote work guidelines.
Emergency Response: Yes - Must be available to perform a primary assignment in support of DTE's emergency response to storms or other events that impact service to our customers.
Job Summary
Acts as a technical expert and project leader for the most challenging data science projects. Provides highly technical and analytical assessments of business priorities to senior leadership and drives the implementation of analytic solutions. Acts as a strong influencer and change agent in the organization to advance a data-based decision-making culture. Oversees and coaches the team of data scientists to run analytical experiments methodically, evaluate alternative models, and develop predictive models to forecast business performance metrics. Communicates effectively with technical and non-technical stakeholders with strong domain expertise and business acumen. Leads the research and development of new technologies and best practices within the industry to recommend approaches and strategies that develop the organization's analytical capabilities-Span of Control: 0, Individual Contributor.
Key Accountabilities
  • Leads data science projects from end-to-end, collaborating with cross-functional stakeholders, identifying business requirements, gathering data, researching analytics solutions, and integrating solutions into business processes
  • Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommends areas of improvement
  • Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.)
  • Prepares and delivers insightful presentations and action recommendations. Educates leaders and crews on complex analytical findings in laymen terms and with storytelling/data visualization
  • Identifies and evaluates technologies and provides strategic inputs to advance the organization's analytics capabilities
  • Mentors the team of data scientists by guiding their professional development in conjunction with the team manager
  • Actively researches new technologies in related subjects and supports the organization to develop data analytics strategies and roadmaps

Minimum Education & Experience Requirements
This is a multi-track base requirement job; education and experience requirements can be satisfied through one of the following options:
  • Bachelor's degree and 10 years of experience, inclusive of 3 years of leading experience working as a team or project lead in a data analytical or computer programming function; or
  • Master's degree and 8 years of experience, inclusive of 3 years of leading experience working as a team or project lead in a data analytical or computer programming function; or
  • Ph.D. degree and 6 years of experience, including 3 years of leading experience working as the team or project lead in a data analytical or computer programming function
  • 5 years of experience in qualitative and quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model optimization, time series analysis, cluster analysis, natural language processing/text analytics, and segmentation)

Other Qualifications
Preferred:
  • Master's or Ph.D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.)
  • Advanced business acumen and utility/energy industry experience
  • Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation
  • Advanced project management skills
  • Experience with publications or conference presentations in a related subject

Other Requirements:
  • Intermediate-level competency using advanced Excel and statistical tools (e.g., Minitab, Alteryx, advanced Excel with VBA, R, Python, SAS, SPSS, Stata, MATLAB, etc.) to conduct in-depth analysis to support decision making
  • Proven expertise in articulating business questions and pulling data from relational databases (e.g., ORACLE, SQL SERVER)
  • Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools such as Power BI, Tableau
  • Intermediate- to advanced- level skills in data modeling, data structure, metadata, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Azure ADLS and Databricks)
  • Experience in designing, building, and supporting a production pipeline for data transformation and validation
  • Advanced skills of applied research design, machine learning, prediction, and optimization (e.g., multivariate statistical analysis, unsupervised and supervised learning, predictive modeling, Monte Carlo simulation)
  • Exceptional track record of successfully delivering large-scale analytical models and systems that result in substantial positive impact on business operations or customer satisfaction
  • Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications
  • Self-starter and learning capability in advancing skillset in business processes, data science, and communications
  • Advanced interpersonal, analytical, and problem-solving skills, including the ability to communicate technical information and complex data analytics to a non-technical audience
  • Experience with leading large projects end-to-end with customer facing and system integration
  • Experience with mentoring and coaching data scientists
  • Experience with agile process development
  • Experience using version control (e.g., Git)

Additional Information
Incumbents may engage in all or some combination of the activities and accountabilities and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision.
PRIVACY NOTICE TO CALIFORNIA JOB APPLICANTS
At DTE Energy, we are committed to providing an inclusive workplace where everyone feels welcome and a sense of belonging. We seek individuals with a heart for service, a passion to help our communities prosper, and ideas to help shape the future of energy. We are proud to be an equal opportunity, employer that considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by applicable federal and/or state laws.

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