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Data Science Contract Jobs in Michigan (NOW HIRING)

Data Modeler

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelors in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Design and implement conceptual ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/yr

W2 Contract Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or ... Engineering, Computer Science, Data Science, or equivalent practical experience. · Proven ...

Contract Administrator I

Ann Arbor, MI · On-site

$60K - $70K/yr

... range of scientific R&D and QC measurements. Proven quality and trustworthy performance have ... data management solutions, driveline test systems, engine test systems, brake test systems, wind ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Ability to work effectively with contract employees and external vendors. * Knowledge of change and ... Bachelor's degree in Computer Science, Engineering, Data Science or a related field, plus seven(7) ...

Senior Data Engineer

Jackson, MI

$96.40K - $131K/yr

Ability to work effectively with contract employees and external vendors. * Knowledge of change and ... Bachelor's degree in Computer Science, Engineering, Data Science or a related field, plus seven(7) ...

Customer Success Manager

Kalamazoo, MI · On-site

$80K - $85K/yr

SaaS Customer Relationships: You're no stranger to ongoing relationship building and contract ... Bachelor's degree in a relevant field (Education, Data Science, Business, etc.) * Proven track ...

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Showing results 1-20

Data Science Contract information

See Michigan salary details

$20.6K

$97.4K

$180K

How much do data science contract jobs pay per year?

As of May 29, 2026, the average yearly pay for data science contract in Michigan is $97,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,616.00 and $136,555.00 per year, depending on experience, location, and employer.

What is a Data Science Contract job?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

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

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What kinds of projects and day-to-day tasks can I expect as a Data Science Contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What cities in Michigan are hiring for Data Science Contract jobs? Cities in Michigan with the most Data Science Contract job openings:
Infographic showing various Data Science Contract job openings in Michigan as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $97,361 per year, or $46.8 per hour.
Data Modeler

Data Modeler

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Posted 16 days ago


Job description

 

GeoLogics is working with a top Aerospace and Defense client looking for a Data Modeler in Sterling Heights, MI - Hybrid.

Role: Data Modeler

Client: Top Aerospace and Defense company

Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote)

Schedule/Travel: 9/80 with 10% travel

Education: Bachelors in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

  • Design and implement conceptual, logical, and physical data models to represent organizational data accurately. 
  • Collaborate with business analysts, data architects, developers, and other stakeholders to gather requirements and ensure models meet business and technical needs. 
  • Maintain a central data dictionary, enforce data standards, and ensure compliance with data governance policies. 
  • Optimize performance of data infrastructure by tuning data models for efficiency, reduce redundancy, optimize reusability at the right levels and improve database performance. 
  • Design solutions for integrating data across systems and perform reverse engineering of existing databases when necessary. 
  • Develop and maintain documentation, naming conventions, and coding standards to ensure consistency across data systems helping the business to define 'what does good look like?' 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed. 
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation. 
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWS Cloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications. 
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL. 
  • Experience using entity-relationship diagrams (ERDs), dimensional modeling, normalization techniques, and metadata repositories to design and document data structures. 
  • Understanding of data warehousing concepts. 
  • Experience with big data technologies like Hadoop or Spark. 
  • Familiarity with cloud-based data services such as AWS or Azure. 
  • Background in data governance and data quality concepts. 
  • Excellent problem-solving and analytical skills. 
  • Strong communication and collaboration skills with both technical and non-technical stakeholders. 
  • Experience in Agile or Scrum environments.
 

Must Have Knowledge:

  • Develop Data Models
  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Experience using entity-relationship diagrams (ERDs)
  • Big Data tech like Hadoop or Spark 

Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate.  Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran



Education:DegreeEmployment Type: CONTRACTOR