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Applied Science Jobs in Milwaukee, WI (NOW HIRING)

Varsity Tutors

Applied Mathematics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Alegeus

Applied AI Engineer, Internal Tools

Milwaukee, WI · Hybrid

$104K - $177K/yr

APPLIED AI ENGINEER, INTERNAL TOOLS Join our team at Alegeus, where you'll experience unmatched ... Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Analytics ...

KOHLS

Data Scientist (Remote)

Menomonee Falls, WI · On-site

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 ...

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All JobsApplied Science JobsApplied Science Jobs in Milwaukee, WI

Applied Science information

See Milwaukee, WI salary details

$24.1K

$47.7K

$77.8K

How much do applied science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for applied science in Milwaukee, WI is $47,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,900.00 and $51,200.00 per year, depending on experience, location, and employer.

What is the career of applied science?

A career in applied science involves using scientific principles and research to develop practical solutions, products, or technologies across fields such as engineering, healthcare, or environmental science. Professionals in this field often work in laboratories, research facilities, or industry settings, utilizing skills in data analysis, experimentation, and technical tools. Advanced education and certifications may be required depending on the specialization.

What are some common challenges faced by professionals in Applied Science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

What is the job of an applied scientist?

An applied scientist conducts research to develop practical solutions by applying scientific principles and methods to real-world problems. They often work with data analysis, modeling, and experimentation, using tools like programming languages and laboratory equipment to innovate and improve products or processes.

What jobs can you do with applied science?

Applied science careers include roles such as research scientist, data analyst, quality control specialist, and product development engineer. These jobs often require strong problem-solving skills, knowledge of scientific methods, and proficiency with tools like laboratory equipment or data analysis software.

What are the key skills and qualifications needed to thrive in the Applied Science position, and why are they important?

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What can I do with applied science in university?

A degree in applied science prepares students for careers in research, development, and technical roles across industries such as healthcare, manufacturing, and technology. Graduates often work as engineers, lab technicians, or product developers, utilizing skills in problem-solving, data analysis, and technical tools. Certifications and hands-on experience can enhance job prospects in this field.

What is an Applied Science job?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

What are the most commonly searched types of Applied Science jobs in Milwaukee, WI? The most popular types of Applied Science jobs in Milwaukee, WI are:
What are popular job titles related to Applied Science jobs in Milwaukee, WI? For Applied Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Applied Science jobs in Milwaukee, WI look for? The top searched job categories for Applied Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Applied Science jobs? Cities near Milwaukee, WI with the most Applied Science job openings:
Applied Science jobs near you
Infographic showing various Applied Science job openings in Milwaukee, WI as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $47,677 per year, or $22.9 per hour.

Applied Machine Learning Engineer II - Advanced Engineering & Technology

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Milwaukee Tool is a company that values innovation and culture, and they are seeking an Applied Machine Learning Engineer II to join their Advanced Engineering and Technology team. This role involves utilizing machine learning expertise to solve complex engineering problems and deliver innovative technologies that enhance product development capabilities.
Responsibilities:
• Research and evaluate emerging AI and ML technologies, advancing them through the Technology Readiness Level (TRL) process from concept through technology integration.
• Frame engineering problems as ML problems by assessing ML value versus physics‑based or analytical approaches and defining practical success criteria.
• Design, train, evaluate, and deploy ML models to solve applied science and engineering problems that expand product development capabilities.
• Build end‑to‑end ML workflows spanning data acquisition, feature engineering, model development, validation, and deployment (PyTorch, TensorFlow, CUDA, Azure ML).
• Deploy ML enabled systems on edge hardware and cloud infrastructure to support engineering decisions.
• Prepare technology transfer packages by documenting architecture decisions, known limitations, data requirements, and deployment specifications to enable technology adoption.
• Collaborate with cross-functional teams to deliver ML solutions aligned with engineering needs.
• Identify and assess emerging technologies via literature, universities, conferences, and vendor engagement.
Qualifications:
Required:
• BS in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, Computer Science, Data Science, or related engineering discipline, with advanced coursework or experience in Machine Learning.
• +3 or more years of experience applying ML to physical-world engineering or scientific problems (materials, mechanical systems, manufacturing, sensor systems, chemical processes, or similar).
• Demonstrated experience designing, training, evaluating, and deploying ML models on real-world problems.
• Strong working knowledge of Python and the scientific computing ecosystem (NumPy, SciPy, Pandas, scikit‑learn), with working knowledge of SQL.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and familiarity with cloud ML platforms (Azure ML, AWS SageMaker, or equivalent).
• Strong mathematical foundations in linear algebra, probability, statistics, and optimization, with the ability to reason about loss functions, convergence behavior, and model assumptions.
• Demonstrated ability to formulate ambiguous engineering or scientific problems into well-defined ML problems with clear objectives and evaluation criteria.
• Curiosity‑driven approach to learning new technologies and methods, with emphasis on applying machine learning to real‑world scientific and engineering challenges.
• Ability to work across a diverse range of data types.
• Hands-on approach to collaboration and evaluation of technologies.
• Ability to thrive in an ambiguous and fast-paced environment, where problem definitions evolve.
• Ability to travel 10% of the time (domestic and international).
Preferred:
• Master’s Degree or PhD in relevant field.
• Familiarity with physics-informed ML approaches, embedding physical constraints in model architecture, or surrogate modeling for simulation acceleration.
• Experience with computer vision for engineering applications.
• Exposure to edge deployment: model optimization containerized deployment to industrial hardware.
• Experience with design of experiments (DOE), uncertainty quantification, or Bayesian optimization.
• Familiarity with version control, experiment tracking, and reproducible research practices.
Company:
Milwaukee Tool manufactures electric power tools and accessories. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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