1

Contract Data Scientist Risk Jobs in Michigan (NOW HIRING)

Strong understanding of artificial intelligence, machine learning, data science, and analytics ... Familiarity with responsible AI, AI governance, model risk considerations, data privacy, and ...

... and security, risk management, automotive, and consulting. You will help ensure customer and ... Master's degree preferred, with a focus in Data Science, Business Administration, or a related ...

New

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

We go beyond transactional interactions to become trusted partners in risk mitigation and workforce ... Data Science, Information Systems, or a related field. * (Required) Strong SQL skills and ...

Showing results 41-60

Contract Data Scientist Risk information

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.
What are the most commonly searched types of Data Scientist Risk jobs in Michigan? The most popular types of Data Scientist Risk jobs in Michigan are:
What cities in Michigan are hiring for Contract Data Scientist Risk jobs? Cities in Michigan with the most Contract Data Scientist Risk job openings:
Infographic showing various Contract Data Scientist Risk job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst, Data & Systems

The Contingent Plan

Auburn Hills, MI • On-site

$81K - $102K/yr

Contractor

Re-posted 20 days ago


Job description


The Contingent Plan is actively recruiting a senior data analyst for a global company in the Auburn Hills area. This is a hybrid role with some need to be in the office. The contract position is expected to last 9 months at this time. The role is an immediate need and the client will move quickly with the right candidate. Sorry, no sponsorship is available at this time.
Responsibilities:
• Serve as link between data, systems, and provide process support for system SMEs to gain input/knowledge on key systems data
• Develop functional requirements for system spilt
• Understand and evaluate IT proposals to perform functional/logical or physical split
• Provide functional support to internal IT (for homegrown systems) and IT providers (for 3rd party software
• Define and perform testing scenarios for split systems: functionalities Escalate to SME in case of need
• Work with big sets of master data and split them up between business units according to the agreed split criteria/rules
• Meet project milestones
• Work closely with the PM, SME, Global leads, and third party Software Vendors' technical resources.
Requirements
  • Bachelor's degree in computer science, information systems, data, or related field.
  • At least 5 years of experience in data analytics, data science, or systems management
  • Prior experience working with global companies and geographically dispersed teams
  • Advanced understanding of data management and visualization practices
  • Able to be in the office 2 to 3 days a week
  • Capable of completing the engagement
  • Able to pass all required background checks