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Temporary Data Scientist Machine Learning Jobs in Wisconsin

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role ... Design, build, and deploy machine learning models across a range of use cases (e.g., forecasting ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

WI · On-site

$90 - $150/hr

* Develop and deploy analytics, machine learning, natural language processing, and AI solutions ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health ...

WI · On-site

$123.68 - $164.87/hr

Why This Role Is Valuable The Data Scientist at Revantage will develop and deploy machine learning ... Build and deploy machine learning models to optimize revenue management and pricing strategies.

New

As a Sr Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization ...

WI · On-site

$130 - $160/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Develop and apply advanced statistical, machine learning, and computational methods to biological ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Develop and apply advanced statistical, machine learning, and computational methods to biological ...

Sr Data Scientist

Cudahy, WI · On-site

$120 - $190/hr

As a Sr Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization ...

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

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Temporary Data Scientist Machine Learning information

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 Wisconsin?

The most popular types of Data Scientist Machine Learning jobs in Wisconsin are:

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

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

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

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

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

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

Infographic showing various Temporary Data Scientist Machine Learning 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 (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 2 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,466 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.


 

What You’ll Do

  • Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations

  • Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models to solve business problems within a cross-functional team

  • Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms

  • Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Identify and drive continuous improvement of key business metrics within the balanced team

  • Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities

  • Additional tasks may be assigned

Addendum

DECISION SCIENCE 

Accountabilities

  • Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates

  • Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management

  • Contribute to the tuning of models by adjusting objective functions, constraints, etc.

Skills & Experience

  • Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc

  • BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field


 

What Skills You Have

Required

  • Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results

  • Effective communication and collaboration skills

  • Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 2+ years of progressively complex data science or analytics experience

Preferred

  • Master’s degree

  • Retail experience

  • Supply chain management

  • Marketing models

  • Logistics experience


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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