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Data Science Engineer Jobs in Wisconsin (NOW HIRING)

Tiger Analytics

WI · On-site

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

MSCCN

Senior Data Scientist - Madison WI

Mcfarland, WI · On-site

$100K/yr

The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross-functional projects. Fundamental ...

ATI

Sr Data Scientist

Cudahy, WI · On-site

S. degree in Engineering, Computer Science, or related field * Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative ...

US staffing Inc

WI · On-site

$120 - $150/hr

... Science, DevOps, and Business units Strong SQL and experience with big data technologies Proficiency in Python / Scala / Java for data engineering Experience with distributed systems and data ...

New

Tiger Analytics

WI · On-site

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

Merkle Science

WI · On-site

$100 - $130/hr

What we're looking for * 4+ years building data science or data engineering systems that actually shipped (not just notebooks). * Strong Python and SQL; comfortable with large datasets and the ...

Doist

Data Scientist - Market Research

Madison, WI · On-site

$110 - $150/hr

Experience collaborating across teams (investment, product, engineering, data science).* Strong business acumen and ability to translate investor workflows into product features.* Excellent ...

New

Vantage Oleochemicals, Inc

WI · On-site

$123.68 - $164.87/hr

What You Bring To The Role Required: * 3-6 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive ...

New

Tiger Analytics, LLC

WI · On-site

$130 - $160/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Collaborate with engineering and product teams to integrate ML solutions into business applications.

RadNet, Inc.

Sr Data Scientist

Cudahy, WI · On-site

$120 - $190/hr

S. degree in Engineering, Computer Science, or related field * Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative ...

3M HEALTHCARE

WI · On-site

$140 - $190/hr

Understands business needs and translates them into actionable data science projects ... Machine learning methods, programming languages, structured query language (SQL). Benefits We offer ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Wisconsin

Data Science Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data science engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are the most commonly searched types of Data Science Engineer jobs in Wisconsin?

The most popular types of Data Science Engineer jobs in Wisconsin are:

What are popular job titles related to Data Science Engineer jobs in Wisconsin?

For Data Science Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Wisconsin look for?

The top searched job categories for Data Science Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Science Engineer jobs?

Cities in Wisconsin with the most Data Science Engineer job openings:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics

WI • On-site

Other

Posted 16 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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