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Data Science Certificate Jobs in Michigan (NOW HIRING)

The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ... Science, Physics or similar quantitative field required (a combination of education, certifications ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Experience ... Bonus Points: * Google Cloud certifications (e.g., Google Cloud Certified Professional Data ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field * Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus The actual ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Mathematics, Statistics, Engineering, or a related field. * Equivalent experience and certifications will ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Mathematics, Statistics, Engineering, or a related field. * Equivalent experience and certifications will ...

New

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Bachelor 's degree in Computer Science, Information Systems, Data Science, Business Analytics, Mathematics, Statistics, Engineering, or a related field.Equivalent experience and certifications will ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Certification in AWS or other cloud providers * Experience with Databricks notebook workflows

Develop data collection and visualization tools using ArcGIS Survey123 and ArcGIS Experience ... Certificate and/or Licenses: Geographic Information Science Certificate or equivalent. * General ...

Perform analytical and geoprocessing functions to create, maintain, and retrieve data. * Monitor ... Geographic Information Science Certificate or equivalent. * General knowledge of Asset Management ...

Showing results 21-40

Data Science Certificate information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data science certificate jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science certificate in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a data science certificate?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

What can I do with a data science certificate?

A data science certificate can qualify you for roles such as data analyst, data scientist, or business intelligence analyst. It demonstrates proficiency in skills like statistical analysis, programming in Python or R, and working with tools such as SQL and machine learning algorithms, which are valuable in data-driven environments.

What does someone with a data science certificate do?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What skills and qualifications are needed for a data science certificate?

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What are the most commonly searched types of Data Science Certificate jobs in Michigan? The most popular types of Data Science Certificate jobs in Michigan are:
What job categories do people searching Data Science Certificate jobs in Michigan look for? The top searched job categories for Data Science Certificate jobs in Michigan are:
What cities in Michigan are hiring for Data Science Certificate jobs? Cities in Michigan with the most Data Science Certificate job openings:
Infographic showing various Data Science Certificate 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 $106,978 per year, or $51.4 per hour.

Sr Data Scientist

GM Financial

Detroit, MI • On-site

Full-time

Retirement

This job post has expired 7 days ago. Applications are no longer accepted.


GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

76th of 171 rated vehicle equipment hire


Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Responsibilities
About the Role:
The Senior Data Scientist is responsible for Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing; Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is the subject matter expert with an in depth knowledge of quantitative methods and diligent knowledge of data sources and tools.
In this role you will:
  • Provides leadership, coaching, and/or mentoring to Data Scientists I and II
  • Performs research, analysis, and modeling on organizational data
  • Assists in analyzing key metrics and performing data analysis
  • Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
  • Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Presents findings and analysis for use in decision making
  • Ensures that the delivered products meet the business needs of the company
  • Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
  • Prioritizes tasks and meets project deadlines in a fast paced work environment
  • Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.
  • Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
  • Ability to design and implement model documentation and monitoring protocols
  • Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
  • Efficiently work with large datasets
  • Provides leadership, coaching, and/or mentoring to Data Scientists I and II
  • Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
  • Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
  • Ability to identify and seek needed information/research skills
  • Analytical thinking skills
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure

Qualifications
Experience
  • 4+ yrs as a Data Scientist or similar quantitative field required
  • Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree)

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office Ft. Worth, TX
This position is not open to agency submissions
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