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Entry Level Data Scientist Machine Learning Jobs in Madison, WI

Varsity Tutors

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

US Department of Commerce

Data Scientist

Madison, WI · On-site

$147K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Designing or implementing artificial intelligence and machine learning models to analyze or ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Entry Level Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do entry level data scientist machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level data scientist machine learning in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI? The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Madison, WI? For Entry Level Data Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Madison, WI look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Madison, WI are:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Madison, WI as of August 2026, with employment types broken down into 78% Full Time, and 22% Nights. Highlights an 100% In-person job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Senior Data Scientist - Madison WI

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Madison, WI

Full-time

Posted 7 days ago

Job description

 
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is On-Site at the location detailed in the job post.
 
Senior Data Scientist
What you will do
Let's do this! Let's change the world!
In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.
The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging crossfunctional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen's SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.
Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.

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