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Data Science Training Jobs in Michigan (NOW HIRING)

GM Financial

Sr Data Scientist

Detroit, MI · On-site

... Computer Science, Physics or similar quantitative field required (a combination of education ... training, GM employee auto discount, community service pay and nine company holidays. Our Culture:

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment. * Manage real-time data: Develop streaming data pipelines ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical ... Training: None; Experience: One (1) year in the position above, as a Data Analyst, as a Data ...

Urban Science Applications, Inc.

Analyst

Detroit, MI · On-site

We are Automotive Business Scientists. We empower our clients to turn overwhelming industry data ... Actively supports and participates in required Urban Science training programs to achieve targeted ...

Urban Science Applications, Inc.

Analyst

Detroit, MI

We empower our clients to turn overwhelming industry data into discovery, action and measured ... Actively supports and participates in required Urban Science training programs to achieve targeted ...

Urban Science Applications, Inc.

Analyst

Detroit, MI · On-site

We empower our clients to turn overwhelming industry data into discovery, action and measured ... Actively supports and participates in required Urban Science training programs to achieve targeted ...

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

Build and lead high-performing teams of data scientists, analytics engineers, and AI product ... Career Development and Ongoing Training * Employee Assistance Program * Employee Spotlight and ...

Abaxis

Head of R&D Data and Digital

Portage, MI

Bachelor's Degree in Computer Science, Computer Information Systems, Data Science, and/or equivalent training/experience in a related field. * Experience : A minimum of 8 years of experience in an ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics ... Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information

NITS Solutions

Data and Security Manager

Novi, MI · On-site

... training programs. Required Qualifications • Bachelor's degree in Computer Science, Information Security, Data Science, or related field (Master's preferred) • 5-10+ years of experience in ...

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How much do data science training jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science training in Michigan is $91,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,350.00 and $108,015.00 per year, depending on experience, location, and employer.

What is a Data Science Training job?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What are the typical responsibilities of a professional in Data Science Training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

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

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

Can I get a data scientist job with no experience?

Entering a data scientist role typically requires relevant skills in programming, statistics, and data analysis, often gained through coursework, projects, or certifications. While some entry-level positions may be available to candidates with minimal experience, most employers prefer candidates with practical experience or a strong portfolio demonstrating their abilities.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

Can I get a job after learning data science?

Data science is a growing field with many job opportunities for those who acquire relevant skills such as programming, statistics, and data analysis tools like Python or R. Completing a data science training program can improve your chances of securing roles such as data analyst or data scientist, but employment also depends on experience, portfolio, and industry demand.
What are the most commonly searched types of Data Science Training jobs in Michigan? The most popular types of Data Science Training jobs in Michigan are:
What are popular job titles related to Data Science Training jobs in Michigan? For Data Science Training jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in Michigan look for? The top searched job categories for Data Science Training jobs in Michigan are:
Data Science Training jobs near you
Infographic showing various Data Science Training job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,313 per year, or $43.9 per hour.
Sr Data Scientist

Sr Data Scientist

GM Financial

Detroit, MI • On-site

Full-time

Retirement

Posted 2 days ago

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

63rd of 146 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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