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Temporary Data Scientist Machine Learning Jobs in Madison, WI

Data Scientist II/III

Madison, WI · On-site

$95 - $130/hr

... machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Requirements * At least five years of relevant experience in health-related applied ...

New

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Temporary AI Engineer

Oregon, WI · On-site

$120 - $170/hr

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

New

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Lead AI Platform Engineer

Madison, WI · On-site

$99.30 - $198.70/hr

Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. * Partner on the ...

New

Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. The path matters less than the depth of what you've built. Ideally ...

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency. · Implement and maintain IaC patterns ...

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. * Partner on the ...

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. * Partner on the ...

Showing results 21-40

Temporary Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for temporary data scientist machine learning in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

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

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

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

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI?

The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:

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

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

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

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

Infographic showing various Temporary Data Scientist Machine Learning job openings in Madison, WI as of June 2026, with employment types broken down into 18% Full Time, 71% Part Time, 2% Temporary, and 9% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Data Scientist II/III

Jobtailor

Madison, WI • On-site

$95 - $130/hr

Other

Posted 3 days ago

New


Job description


  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

  • 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

  • Organizes and automates project steps for data preparation and analysis


Requirements

  • At least five years of relevant experience in health-related applied research, statistics, and analytics.

  • Advanced proficiency with statistical software and programming languages, specifically Python and R.

  • Experience using and managing workflows in open-source platforms like GitHub, for version control, code management and collaboration.

  • Proficiency in interactive web dashboards and applications built with tools such as Shiny, Quarto, Streamlit or Dash for visualizing and disseminating data.

  • Experience manipulating and analyzing a variety of datasets including, national mortality, community health, health indicators and outcomes, including non-traditional data sources such as (grassroots reporting/social media mining).

  • Experience developing analytic approaches to support continued improvement of data management, analysis, visualization and presentation, including the development of data quality frameworks.


Core Competencies

Demonstrates advanced proficiency in statistical analysis and programming with Python and R, alongside expertise in data visualization and workflow management. Capable of developing reproducible research methodologies and automating data preparation processes to support health-related applied research.


Tools & Technologies

  • GitHub

  • Shiny

  • Quarto

  • Streamlit

  • Dash

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