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Temporary Data Science Contract Jobs in Michigan

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelor's 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) * Responsible for designing, building ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Contract * Job #104222 Employer: Epitec, Inc. Position: Data Engineer (Job Code: 1391) Duties ... Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical ...

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Help document data flows, data lineage, data contracts, transformation logic, and reporting ... Required Qualifications * Bachelor's degree in engineering, analytics, computer science ...

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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.
Data Scientist

Data Scientist

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Posted 22 days ago

Job description

 

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

Role: Data Scientist

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: Bachelor's 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

  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines. 
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights. 
  • 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 AWSCloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. 
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
  • Familiarity with Atlassian Jira or ServiceNow. 
  • Proficiency with server usage and troubleshooting. 
  • Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
  • Must be able to work independently to research, analyze, and form solutions. 
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation. 
  • 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. 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems. 
  • Ability to make decisions with sound judgment while complying with policies and procedures.
  • Experience developing requirements for collection of and follow on use of data to inform the organization. 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards. 
  • Self-starter with excellent attention to detail and able to stay organized.

Must Have Knowledge:

  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Collecting Data from various sources
  • Troubleshoot issues with data infrastructure, monitor systems
 
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

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