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Entry Level Data Scientist Machine Learning Jobs in Madison, WI

Rubick

Data Crawling - Consultant

Oregon, WI · On-site

$90 - $130/hr

Collaborate with AI and Data Engineering teams to support Machine Learning models and Product Intelligence systems. * Continuously optimize crawling performance for speed, scalability, and ...

Varsity Tutors

Python Tutor

Madison, WI · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

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Entry Level Data Scientist Machine Learning information

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

As of Sep 6, 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 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 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 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 67% Full Time, and 33% Nights. Highlights an 100% In-person job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Whitewater, WI • On-site

Other

Re-posted 16 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply