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Data Science Training Jobs in Michigan (NOW HIRING)

AI and Data Science Engineer II

Detroit, MI · On-site

$113K - $136K/yr

... and training; licensure and certifications; and other business and organizational needs. The ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

After initial training in-person, this specific role could have the flexibility to work from home ... Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical ...

Data Scientist

Dearborn, MI · On-site

$107K - $186K/yr

Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or ... training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP ...

Your profile and competencies to succeed • PhD or Master's degree in Computer Science, Artificial ... Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA ...

Stay abreast of the latest developments in data science, machine learning, deep learning, and AI ... Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA ...

... data science support for optimization initiatives, strategic planning, and highimpact business ... Approved job-related training and tuition reimbursement * Paid holidays and paid time off * Work on ...

Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or ... training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

Partner with data scientists and AI engineers to support model training, scoring, and deployment needs * Establish and follow best practices for data modeling, naming conventions, version control ...

Our team includes specialists with advanced postgraduate training and deep experience building and ... Communicate complex data science and machine learning concepts clearly and effectively to ...

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Data Science Training information

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$21.5K

$91.3K

$171.2K

How much do data science training jobs pay per year?

As of Jun 10, 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.

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.

How to become a data science trainer?

To become a data science trainer, one should have strong expertise in data analysis, machine learning, and programming languages like Python or R. Gaining relevant certifications, such as Certified Data Scientist, and developing teaching skills through workshops or courses can enhance credibility. Practical experience in data projects and familiarity with training methodologies are also important for effective instruction.
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:
Infographic showing various Data Science Training job openings in Michigan as of June 2026, with employment types broken down into 3% As Needed, 81% Full Time, 6% Part Time, and 10% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $91,313 per year, or $43.9 per hour.
AI and Data Science Engineer II

AI and Data Science Engineer II

Deloitte

Detroit, MI • On-site

$113K - $136K/yr

Other

Posted 9 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on July 11, 2026

Work you'll do

As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...

  • Translating business goals into machine learning use cases and model design approaches.
  • Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
  • Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
  • Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
  • Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Experience translating business goals into machine learning use cases and model design
  • Experience performing exploratory data analysis and developing predictive models
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities
  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences
  • Experience with deep learning architectures or reinforcement learning

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 - $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on July 11, 2026

Work you'll do

As an AI and Data Science Engineer II on the Advertising, Marketing & Commerce team, you will be responsible for...

  • Translating business goals into machine learning use cases and model design approaches.
  • Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
  • Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
  • Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
  • Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

  • Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • 2+ years of industry experience outside of academia applying data science or machine learning methods
  • Experience translating business goals into machine learning use cases and model design
  • Experience performing exploratory data analysis and developing predictive models
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
  • Experience manipulating large marketing data sets and performing extract, transform, and load activities
  • Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
  • Experience with data sets generated in advertising technology or marketing technology environments
  • Experience presenting complex data insights to non-technical audiences
  • Experience with deep learning architectures or reinforcement learning

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 - $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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