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Data Researcher Jobs in Michigan (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads the research and development of new technologies and best practices within the industry to ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

DTE Energy

Expert Data Scientist

Detroit, MI

Leads the research and development of new technologies and best practices within the industry to ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads the research and development of new technologies and best practices within the industry to ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

Reliance One

Applied Researcher

Ann Arbor, MI

$50 - $55/hr

Analyze experimental data and communicate technical findings through reports, presentations, and scientific publications. * Collaborate with multidisciplinary engineering and research teams to ...

CTC USA, LLC

Quantum Researcher

Ann Arbor, MI · On-site

Strong skills in Python, MATLAB, or similar for data analysis and instrument control * Scientific Writing: Clear communication of results to internal research teams using graphs, mathematics, etc.

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power ...

CoStar

Field Researcher - Detroit, MI

Southfield, MI · On-site

The Role Field Researchers are the talented and versatile team responsible for data collection that supports all CoStar Group products. Whether capturing information around new tenants and their ...

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All JobsData Researcher JobsData Researcher Jobs in Michigan

Data Researcher information

See Michigan salary details

$26.1K

$98.6K

$143.4K

How much do data researcher jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data researcher in Michigan is $98,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the work of a data researcher?

A data researcher collects, analyzes, and interprets data to support decision-making and problem-solving within organizations. They often use tools like spreadsheets, databases, and statistical software, and require strong analytical skills and attention to detail. Their work involves gathering data from various sources, ensuring data quality, and presenting findings clearly.

What do data researchers do?

Data researchers analyze large datasets to identify patterns, trends, and insights that support decision-making. They often use statistical tools, programming languages like Python or R, and data visualization software to organize and interpret data. Their work helps organizations improve strategies, products, and services based on data-driven evidence.

What are the typical day-to-day responsibilities of a Data Researcher?

As a Data Researcher, your daily responsibilities usually involve gathering, cleaning, and analyzing large datasets, as well as creating reports and visualizations to present your findings. You may work closely with data scientists, business analysts, and subject matter experts to define research goals and ensure data accuracy. Regular tasks could also include monitoring trends, documenting sources, and communicating insights to various departments. This collaborative and investigative environment means you'll often balance independent work with team projects, fostering both technical and interpersonal skills.

What is a Data Researcher job?

A Data Researcher is responsible for collecting, analyzing, and interpreting data to support business decisions, market research, or academic studies. They use various sources, such as databases, surveys, and reports, to gather relevant information. Data Researchers also clean and organize data, ensuring accuracy and reliability. Their work helps organizations identify trends, make informed decisions, and improve strategies based on data-driven insights.

What jobs pay 200,000 a year in the USA?

For a Data Researcher, earning $200,000 annually typically requires extensive experience, advanced skills in data analysis and statistical tools, and often a role in high-demand industries such as finance, technology, or consulting. Positions at this level may involve leadership responsibilities, specialized expertise, or working in senior or executive-level roles.

What are the key skills and qualifications needed to thrive in the Data Researcher position, and why are they important?

To thrive as a Data Researcher, you need strong analytical skills, knowledge of statistics, and proficiency in data collection and analysis, often supported by a degree in a related field like statistics, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms, as well as certifications in data science or analytics, is highly valuable. Attention to detail, curiosity, critical thinking, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately interpreting data, generating actionable insights, and effectively conveying findings to stakeholders.

Is 40 too late for data science?

Data research and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis tools, regardless of age, and demonstrating continuous learning and adaptability.
What are popular job titles related to Data Researcher jobs in Michigan? For Data Researcher jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Researcher jobs in Michigan look for? The top searched job categories for Data Researcher jobs in Michigan are:
Data Researcher jobs near you
Infographic showing various Data Researcher job openings in Michigan as of July 2026, with employment types broken down into 3% Internship, 74% Full Time, 13% Part Time, and 10% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $98,579 per year, or $47.4 per hour.
Expert Data Scientist

Expert Data Scientist

DTE Energy

Detroit, MI • On-site

Full-time

Re-posted 11 days ago

DTE Energy rating

8.6

Company rating: 8.6 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

10th of 52 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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