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Internship Python Data Science Jobs in Wisconsin

About the Role In this role you will work with a data science team and cross-functional partners to ... Experience using modern analytics tools, programming languages, and cloud platforms such as Python ...

WI · On-site

$100 - $130/hr

What we're looking for * 4+ years building data science or data engineering systems that actually shipped (not just notebooks). * Strong Python and SQL; comfortable with large datasets and the ...

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

WI · On-site

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

WI · On-site

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

Using tools such as R, Python and SQL, the Data Scientist will help design, document, and share analytical workflows and interactive dashboards that inform local decision-making. Ideal candidates are ...

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Proficiency in Python and SQL; experience with API/JSON integrations. * Experience with statistical ... Master's degree in Analytics, Data Science, Statistics, Computer Science, or related field ...

Showing results 21-40

Internship Python Data Science information

What is an internship Python data science?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

What types of projects can I expect to work on during a Python data science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What are the key skills and qualifications needed to thrive as an internship Python data science?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What are the most commonly searched types of Python Data Science jobs in Wisconsin?

The most popular types of Python Data Science jobs in Wisconsin are:

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

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

Data Scientist (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 29 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,465 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.


 

What You’ll Do

  • Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations

  • Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models to solve business problems within a cross-functional team

  • 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, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Identify and drive continuous improvement of key business metrics within the balanced team

  • Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities

  • Additional tasks may be assigned

Addendum

DECISION SCIENCE 

Accountabilities

  • Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates

  • Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management

  • Contribute to the tuning of models by adjusting objective functions, constraints, etc.

Skills & Experience

  • Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc

  • BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field


 

What Skills You Have

Required

  • Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results

  • Effective communication and collaboration skills

  • 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

Preferred

  • Master’s degree

  • Retail experience

  • Supply chain management

  • Marketing models

  • Logistics experience


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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