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Temporary Data Science Contract Jobs in Michigan

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 years of experience in Data ... Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 years of experience in Data ... Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics ...

Charles River

Support Scientist II

Mattawan, MI · On-site

$27/hr

  • Medical

  • Retirement

  • PTO

Responsible for data review for completeness, quality or QC against the applicable protocol or ... Contract research organization experience preferred. * Client-facing customer service expereince ...

Charles River Laboratories

Support Scientist II

Mattawan, MI · On-site

$27/hr

  • Medical

  • Retirement

  • PTO

Responsible for data review for completeness, quality or QC against the applicable protocol or ... Contract research organization experience preferred. * Client-facing customer service expereince ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Contract Description: The Data Engineer is responsible for designing, building, and maintaining ... Master's Degree in Computer Science, Data Science, Engineering, Information Systems, or a related ...

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Showing results 21-40

All JobsData Science Contract JobsTemporary Data Science Contract JobsTemporary Data Science Contract Jobs in Michigan

Temporary Data Science Contract information

What are some common challenges faced by data scientists working on temporary contracts, and how can they be addressed?

Temporary data science contractors often face challenges such as limited time to familiarize themselves with company-specific data and tools, quickly building relationships with existing teams, and delivering impactful results within tight deadlines. To address these, it is helpful to clarify project goals early, request clear documentation, proactively communicate with stakeholders, and prioritize tasks effectively. Building rapport with team members and staying adaptable can also make onboarding smoother and help ensure a successful contract engagement.

What is a temporary data science contract?

A Temporary Data Science Contract is a short-term employment arrangement where a data scientist is hired to work on specific projects or tasks for a defined period. These contracts are common when companies need specialized expertise for a limited duration, such as data analysis, model building, or supporting a product launch. Contractors typically work independently or as part of a team and are not considered permanent employees, which allows businesses flexibility in managing resources and budgets.

What is the difference between Temporary Data Science Contract vs Data Analyst?

AspectTemporary Data Science ContractData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldUsually requires a degree in data analysis, statistics, or related field
Work EnvironmentProject-based, often in tech, finance, or healthcare industriesBusiness environments, focusing on data reporting and visualization
Employer UsageUsed for short-term projects or filling skill gaps temporarilyOften a permanent or long-term role within organizations
Search & Comparison IntentCommonly compared for project-based roles with data analysis tasks

The main difference is that a Temporary Data Science Contract is a short-term, project-focused role requiring specialized data science skills, while a Data Analyst role is often more permanent, focusing on data reporting and insights within a business environment.

What are the key skills and qualifications needed to thrive as a temporary data science contractor, and why are they important?

To thrive as a Temporary Data Science Contractor, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and experience with SQL databases are often required, and certifications in data science or analytics can be beneficial. Excellent communication, adaptability, and problem-solving abilities help you quickly integrate into teams and deliver actionable insights on tight deadlines. These skills are crucial for delivering high-impact results in short-term projects and meeting client expectations efficiently.

What are popular job titles related to Temporary Data Science Contract jobs in Michigan?

For Temporary Data Science Contract jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Temporary Data Science Contract jobs in Michigan look for?

The top searched job categories for Temporary Data Science Contract jobs in Michigan are:

What cities in Michigan are hiring for Temporary Data Science Contract jobs?

Cities in Michigan with the most Temporary Data Science Contract job openings:

Temporary Data Science Contract jobs near you
Infographic showing various Temporary Data Science Contract job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 59% Full Time, 17% Part Time, 2% Temporary, and 21% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Senior Data Engineer

Agile Tech Labs

Lansing, MI • On-site

$107K - $146K/yr

Full-time

Posted 11 days ago

Job description

Job Title: Senior Data Engineer
Job Location: Lansing, MI (Hybrid)
Job Type: Contract
Job Description/ Requirement:
  • 3-7 years of experience in Data Engineering, Business Intelligence, Data Analytics, or a related field.
  • Strong experience in project management reporting and portfolio analytics.
  • Hands-on experience with SQL, data integration, ETL, and data transformation.
  • Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools.
  • Ability to gather business requirements and translate them into reporting solutions.
  • Experience creating KPIs, scorecards, and portfolio performance metrics.
  • Strong knowledge of data modeling, reporting automation, and data quality.
  • Experience analyzing project, portfolio, financial, and operational data.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while managing multiple priorities.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Mathematics, Statistics, Engineering, or a related field.
  • Equivalent experience and certifications will also be considered.

Preferred:
  • Experience with Project Portfolio Management (PPM) tools such as Clarity, ServiceNow PPM, Planview, or Microsoft Project Online.
  • Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data warehousing.
  • Knowledge of APIs, ETL processes, scripting, and reporting automation.
  • Experience in government or large enterprise environments.
  • Familiarity with Agile, Scrum, Kanban, SAFe, or PMBOK methodologies.
  • Experience with financial and portfolio performance reporting.

Interested candidates can send their updated resumes at chandra.jana@agile-techlabs.com

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