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Algorithm Scientist Jobs in Wisconsin (NOW HIRING)

The engineer bridges clinical needs, scientific rigor, and production software engineering, translating research algorithms (often in Python) into highperformance, safetycritical C/C ...

The engineer bridges clinical needs, scientific rigor, and production software engineering, translating research algorithms (often in Python) into high-performance, safety-critical C/C ...

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 ...

Fine-tune, optimize and ensure the scalability of models and algorithms * Aid in designing ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based ...

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based ...

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Algorithm Scientist information

See Wisconsin salary details

$52K

$115K

$141.7K

How much do algorithm scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for algorithm scientist in Wisconsin is $115,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $141,100.00 per year, depending on experience, location, and employer.

What degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What cities in Wisconsin are hiring for Algorithm Scientist jobs? Cities in Wisconsin with the most Algorithm Scientist job openings:

Image Quality Algorithm Developer

Monvik Info Solutions LLC

Waukesha, WI โ€ข On-site

$60 - $65/hr

Temporary

Re-posted 19 days ago


Job description

Rate $60 - $65/hr.

Image Quality Algorithm Developer specializing in medical imaging systems with expertise in applying engineering principles and scientific methods to develop, evaluate, and optimize image quality algorithms for CT and X-ray imaging platforms. Experienced in designing advanced image processing and reconstruction algorithms to enhance diagnostic image quality and system performance.
Skilled in data acquisition, calibration, modeling, and simulation to improve imaging accuracy and reliability. Proficient in utilizing MATLAB, Python, and C++ for algorithm development, performance analysis, and validation using both real and simulated datasets. Strong understanding of X-ray and CT physics, image reconstruction techniques, and signal processing fundamentals to support innovative medical imaging solutions.
Collaborates effectively with cross-functional local and global teams to design, implement, and deploy algorithmic solutions for next-generation imaging technologies. Adept at conducting feasibility studies, performance evaluations, and technical analysis to support new product development and technology introduction. Committed to staying current with advancements in imaging science, data science, and algorithm development to drive.