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Data Science Major Jobs in Wisconsin (NOW HIRING)

Springs Window Fashions and Affiliated Companies

WI · On-site

$130 - $160/hr

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a ... Experience leading technical teams or major initiatives * Strong experience with AI architecture ...

Florimond Desprez

WI · On-site

$90 - $120/hr

... straw cereal and a major player in the European seed potato market. Florimond Desprez is an ... You have a Bachelor's or Master's degree in Computer Science, Engineering, Data science or related ...

Texas Health Institute

WI · On-site

$118 - $237/hr

... data science, or quantitative marketing/engagement analytics * Demonstrated ownership of a major analytical domain end to end, including setting definitions others depend on * Advanced SQL and strong ...

Danaher

Director of Operations Strategy

Madison, WI · On-site

Lead integration planning and execution for major operational initiatives, ensuring seamless ... Advance AI enablement and data science capabilities by identifying and scaling smart manufacturing ...

United Beet Seeds BV

WI · On-site

$70.64 - $94.18/hr

... a major player in the European seed potato market. Florimond Desprez is an independent ... You have a Bachelor's or Master's degree in Computer Science, Engineering, Data science or related ...

Latent AI

WI · On-site

$80 - $110/hr

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific ... Must be able to work extended hours and/or weekends as needed to meet major milestones * Must be ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted ... Exposure working with major cloud platforms (GCP, AWS, or Azure) * Familiarity and experience with ...

Pwc

AI Solutions Engineering Delivery Lead

Milwaukee, WI · On-site

$101K - $133K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

NVIDIA Gruppe

WI · On-site

$184 - $287.50/hr

... already made a major impact on the energy sector and are broadly used across leading energy ... Experience using data science in the energy industry. * Experience using GPGPU programming and ...

PepsiCo

Agricultural Science Technician

Rhinelander, WI · On-site

$54K - $82K/yr

Overview PepsiCo is a major food enterprise sourcing a variety of raw materials of agricultural ... This includes in-season field data collection, operating UAVs as trained, raw potato grading at ...

PepsiCo

Agricultural Science Technician

Rhinelander, WI · On-site

$54K - $82K/yr

Overview PepsiCo is a major food enterprise sourcing a variety of raw materials of agricultural ... This includes in-season field data collection, operating UAVs as trained, raw potato grading at ...

PepsiCo

Agricultural Science Technician

Rhinelander, WI · On-site

$54K - $82K/yr

Overview PepsiCo is a major food enterprise sourcing a variety of raw materials of agricultural ... This includes in-season field data collection, operating UAVs as trained, raw potato grading at ...

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Showing results 41-60

All JobsData Science Major JobsData Science Major Jobs in Wisconsin

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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

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

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

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

Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior AI Engineer

Springs Window Fashions and Affiliated Companies

WI • On-site

$130 - $160/hr

Other

Re-posted 2 days ago

Job description

Position Summary

The Sr AI Engineer serves as a technical leader responsible for enterprise-scale AI architecture, solution governance, and advanced AI engineering practices. This role drives strategic AI adoption and mentors engineering teams across the organization. This role will partner closely with Information Technology, business stakeholders, operations, customer service, product development, and analytics teams to deliver scalable AI capabilities that improve efficiency, enhance customer experiences, and enable data-driven decision making.

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This individual must be comfortable operating in a fast-paced, transformation-oriented environment and capable of translating business problems into production-ready AI solutions.

Key Responsibilities
  • Design, build, deploy, and maintain enterprise AI and machine learning solutions.
  • Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation.
  • Partner with business leaders to identify high-value AI use cases aligned to strategic priorities.
  • Build scalable AI pipelines, APIs, and integrations with enterprise platforms and business applications.
  • Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives.
  • Develop AI-enabled analytics and predictive models supporting manufacturing, supply chain, customer service, sales, and operations.
  • Implement AI governance, model monitoring, security, and responsible AI practices.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Evaluate emerging AI technologies and recommend enterprise adoption strategies.
  • Support AI experimentation, rapid prototyping, and innovation initiatives across the organization.
  • Create technical documentation, operational procedures, and knowledge transfer materials.
  • Mentor technical teams and promote AI engineering best practices.
Requirements

Required

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Advanced degree in Artificial Intelligence, Machine Learning, or Data Science preferred.
  • 8-10+ years overall technology experience
  • 5+ years focused in AI/ML engineering
  • Proven experience deploying enterprise-scale AI systems
  • Experience leading technical teams or major initiatives
  • Strong experience with AI architecture and distributed systems
  • Experience operationalizing generative AI at scale
  • Executive communication capability

Preferred

  • Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.
  • Manufacturing, supply chain, consumer products, or retail industry experience.
  • Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
  • Familiarity with data visualization and analytics platforms such as Power BI or Tableau.
  • Experience leading enterprise AI transformation initiatives.
  • AI governance frameworks
  • FinOps for AI workloads
  • Multi-cloud AI strategy
  • Experience building internal AI platforms or copilots
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