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Contract Machine Learning Data Scientist Jobs in Wisconsin

3M HEALTHCARE

WI · On-site

Machine learning * Emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment) Education Bachelor's Degree (Required) Experience Minimum of 6 years ...

Varsity Tutors

Machine Learning Tutor

Madison, WI · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Milwaukee, WI · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Zicasso, Inc.

WI · On-site

Apply advanced statistical methods and machine learning techniques to solve complex business ... Proven experience as a Data Scientist in a fast-paced and data-driven environment. * Expertise in ...

Polco

Data Scientist

Madison, WI · On-site +1

$90K - $120K/yr

Polco is hiring a Data Scientist! Polco runs some of the most important local government ... machine learning models that show communities where their key metrics are headed), and causal ...

Polco

Data Scientist

Madison, WI · On-site

Polco is hiring a Data Scientist! Polco runs some of the most important local government ... machine learning models that show communities where their key metrics are headed), and causal ...

Polco

Data Scientist

Madison, WI · On-site

Polco is hiring a Data Scientist! Polco runs some of the most important local government ... machine learning models that show communities where their key metrics are headed), and causal ...

Pwc

AI & GenAI Data Scientist - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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All JobsContract Machine Learning Data Scientist JobsContract Machine Learning Data Scientist Jobs in Wisconsin

Contract Machine Learning Data Scientist information

What is a contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

What are the key skills and qualifications needed to thrive as a contract machine learning data scientist?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in Wisconsin?

For Contract Machine Learning Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Data Scientist jobs in Wisconsin look for?

The top searched job categories for Contract Machine Learning Data Scientist jobs in Wisconsin are:

What cities in Wisconsin are hiring for Contract Machine Learning Data Scientist jobs?

Cities in Wisconsin with the most Contract Machine Learning Data Scientist job openings:

Contract Machine Learning Data Scientist jobs near you
Infographic showing various Contract Machine Learning Data Scientist job openings in Wisconsin 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.

Data Scientist

Madison, WI • On-site

State of Wisconsin Investment Board
Finance and Insurance • 201 - 500 employees
Learn more about State of Wisconsin Investment Boardexternal

Full-time

Re-posted 13 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
  • Enable data-driven decision-making through innovative analytical solutions and models.
  • Convey complex data concepts to technical and non-technical stakeholders.
  • Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
  • Apply artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Act as a liaison between investment personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
  • Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
  • Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings.
  • Deploy data solutions in cloud environments (e.g. Azure, AWS).
  • Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.

The ideal candidate:
  • Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program.
  • 1+ years of experience with data science, data analytics, investment analysis, or similar.
  • Proactively drives data-driven decision-making through innovative analytical solutions and models.
  • Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.
  • Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development.
  • Experience applying artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Skilled in developing and deploying machine learning models, utilizing techniques such as regression, classification, and clustering.
  • Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
  • Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
  • Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CICD).
  • Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
  • Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.
  • Interest or experience in investment management, quantitative finance and technology. Progress toward or completion of the CFA designation is preferred
  • Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices.

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office or the job position. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

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