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Temporary Machine Learning Scientist Jobs in Madison, WI

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Support cross-training efforts by learning to operate additional machines and work in other ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

New

Linear Algebra Tutor

Madison, WI · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision ...

Ability to explain statistical modeling techniques, machine learning basics, and business ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Senior Software Engineer

Oregon, WI · On-site

$120 - $170/hr

Bachelor's Degree in Computer Science, Computer Engineering or a closely related field * 5 years ... with Machine Learning esp. in Natural Language Understanding, Machine Translation, Deep Neural ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

New

Showing results 41-60

Temporary Machine Learning Scientist information

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

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

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are popular job titles related to Temporary Machine Learning Scientist jobs in Madison, WI?

For Temporary Machine Learning Scientist jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Scientist jobs in Madison, WI look for?

The top searched job categories for Temporary Machine Learning Scientist jobs in Madison, WI are:

Data Scientist II

Madison, WI • On-site, Remote


University of Wisconsin-Madison
Colleges, Universities, and Professional Schools • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

128th of 622 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


$80K/yr

Full-time

Retirement, PTO

Posted 4 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Data Scientist II
Job Summary:
The Office of Informatics is seeking an outstanding candidate for a Data Scientist II position to support research related data needs. The Data Scientist II will design, develop, and maintain data pipelines, data models, visualizations and analytical tools to support research and decision-making across multiple stakeholder groups. This role works collaboratively with researchers, analysts, and other partners to transform complex data into accessible, actionable insights, including geospatial data and visualizations. The Data Scientist II will leverage SQL, Python, dashboarding and GIS tools to build scalable data solutions, create engaging visualizations and maps, and enable efficient data access for research use cases.
Key Job Responsibilities:
Develops and Maintains Data Solutions
  • Design and build interactive visualizations for a variety of stakeholder groups
  • Develop and maintain scalable data pipelines and data models to support research and operations
  • Incorporate geospatial data into dashboards and analytical workflows where appropriate
  • Ensure solutions follow data visualization best practices and accessibility guidelines

Data Integration and Transformation
  • Develop and maintain data pipelines using SQL and Python
  • Clean, transform, and validate datasets from multiple sources, including spatial datasets
  • Create reusable data models and semantic layers within Power BI
  • Support integration of GIS data sources into enterprise data environments

Stakeholder Collaboration and Requirements Gathering
  • Translate requirements into technical solutions, including dashboards and geospatial visualizations
  • Partner with stakeholders to understand research data needs, including location-based analysis
  • Communicate insights effectively to both technical and non-technical audiences

Documentation and Governance
  • Document data sources, workflows, dashboards, and spatial data assets
  • Support data governance, quality, and consistency standards
  • Maintain version control and standard deployment processes

Continuous Improvement and Support
  • Monitor and troubleshoot data pipelines, dashboards, and geospatial outputs
  • Stay current with Azure, Power BI, GIS tools, and data engineering best practices
  • Recommend enhancements to improve data accessibility, visualization, and spatial analysis capabilities

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.
Key Job Responsibilities:
  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
  • Organizes and automates project steps for data preparation and analysis
  • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

Department:
School of Medicine and Public Health, Office of Informatics, Research Data Services.
Compensation:
The starting salary for the position is $80,000 annually; but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage.
SMPH Faculty /Academic Staff Benefits Flyer 2026
Required Qualifications:
  • Professional experience developing Power BI, Tableau, or similar dashboards for multiple stakeholders
  • Experience writing complex SQL queries for data extraction and transformation
  • Experience using Python for data processing, scripting, or automation
  • Demonstrated ability to translate business needs into data visualizations
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications:
  • Experience with data modeling concepts (star schema, dimensional modeling)
  • Familiarity with data warehousing platforms (e.g., Snowflake, Redshift, Azure Synapse)
  • Experience with Power BI Service, including publishing and governance
  • Knowledge of data governance, security, and best practices
  • Experience working in a collaborative or matrixed environment
  • Experience working with geographic information systems (GIS) and spatial data
  • Ability to design and create engaging, user-friendly maps and geospatial visualizations for research and operational use cases

Education:
Master's degree preferred
How to Apply:
For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.
• Cover letter [required)
• Resume required (required)
Your cover letter should address [how your training and experience aligns with the required and preferred qualifications listed above]. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. [This position is an ongoing position that will require continuous work eligibility If you are selected for this position you must provide proof of work authorization and eligibility to work.
Contact Information:
Cody Roekle, croekle@wisc.edu, 608-263-7676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

University of Wisconsin logo

About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005


What University Of Wisconsin-Madison employees say

Pay

Benefits

Hours and flexibility

Workplace

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