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Python Machine Learning Jobs in Michigan (NOW HIRING)

Data Scientist

Grand Rapids, MI · Hybrid

$70 - $90/hr

... Python,Machine learning,azure ml,a/b testing,databricks Additional Skills & Qualifications What you'll be doing as a Data Scientist: • Advanced Degree (MA/MS, PhD) in Mathematics, Statistics ...

Data Scientist

Grand Rapids, MI · Hybrid

$70 - $90/hr

... Python,Machine learning,azure ml,a/b testing,databricks Additional Skills & Qualifications What you'll be doing as a Data Scientist: • Advanced Degree (MA/MS, PhD) in Mathematics, Statistics ...

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Python Machine Learning information

See Michigan salary details

$11

$51

$75

How much do python machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python machine learning in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.
What are the most commonly searched types of Python Machine Learning jobs in Michigan? The most popular types of Python Machine Learning jobs in Michigan are:
Infographic showing various Python Machine Learning job openings in Michigan as of May 2026, with employment types broken down into 3% As Needed, 64% Full Time, 18% Part Time, 5% Temporary, and 10% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $106,276 per year, or $51.1 per hour.
Data Scientist

Data Scientist

TEKsystems

Grand Rapids, MI • Hybrid

$70 - $90/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Description

Seeking a Data Scientist to drive personalized customer communications and marketing measurement across enterprise channels, including email and push notifications. This role focuses on optimizing who we reach, what we say, and when we say it, while rigorously measuring incremental impact through experimentation and modeling. You will design and scale systems that deliver targeted, relevant messaging and quantify marketing effectiveness using approaches such as incrementality testing and marketing mix modeling (MMM).

Personalized Messaging (Email & Push):

- Build and optimize models for:

- Audience targeting and segmentation

- Message personalization (content, timing, frequency)

- Improve customer engagement while avoiding over-saturation

- Partner with Marketing to align messaging strategies with business goals

Campaign Optimization:

- Develop systems to determine:

- Who should receive which message

- When and through which channel (email vs. push)

- Balance competing objectives (revenue, retention, customer experience)

Measurement & Incrementality:

- Design and execute controlled experiments (holdouts, A/B tests)

- Measure incremental lift in revenue and conversions

- Move beyond vanity metrics (opens, clicks) to causal impact

Marketing Mix Modeling (MMM):

- Build and maintain MMM frameworks to:

- Quantify channel contribution

- Inform budget allocation decisions

- Integrate digital messaging insights into broader enterprise marketing strategy

Customer Modeling:

- Develop models for:

- Customer propensity (purchase, churn, engagement)

- Lifetime value (CLV)

- Use these insights to drive smarter targeting and spend efficiency

Skills

Python, Machine learning, azure ml, a/b testing, databricks, Sql

Top Skills Details

Python,Machine learning,azure ml,a/b testing,databricks

Additional Skills & Qualifications

What you'll be doing as a Data Scientist:

• Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field

• Certifications: Azure Data Science Associate, Azure AI, Safe Agile

• 6+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG. Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK

• Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub

- Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models

• Proactive and action oriented

• Ability to collaborate with, and present to internal and external partners

• Able to learn company systems, processes and tools, and identify opportunities to improve

• Detail oriented and organized

• Ability to meet production deadlines

• Strong communications, interpersonal and organizational skills

• Excellent written and verbal communication skills

• Understanding of intellectual property rights, compliance and enforcement

Experience Level

Expert Level

Job Type & Location

This is a Contract position based out of Grand Rapids, MI.

Pay and Benefits

The pay range for this position is $70.00 - $90.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Grand Rapids,MI.

Application Deadline

This position is anticipated to close on May 31, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.