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Data Science R Jobs in Wisconsin (NOW HIRING)

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... R, Python, SQL). * Experience on using the cloud platform (ex Azure, AWS..) * Experience with ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Innovizant LLC

Data Scientist

Madison, WI

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

Cliftonlarsonallen

Manager of Data Science

Racine, WI · On-site

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

CliftonLarsonAllen

Manager of Data Science

Hudson, WI · On-site

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide day ...

Cliftonlarsonallen

Manager of Data Science

Hudson, WI · On-site

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

Newance

Senior Data Scientist

Green Bay, WI · On-site

As a member of our Data Science team, you will play a crucial role in leveraging, building and ... SQL, R, Python). * Proficient in executing of the following: * Advanced statistical modeling ...

KOHLS

Data Scientist I (Remote)

Menomonee Falls, WI · On-site

About the Role In this role you will work with a data science team and cross-functional partners to ... Python, R, Spark, SQL, GCP, etc. * Strong problem-solving skills with an emphasis on product ...

Cliftonlarsonallen

Data Scientist

Madison, WI · On-site

As a Data Science Associate, you will: This role constructs complex solutions that integrate data ... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ...

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Data Science R information

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Wisconsin? The most popular types of Data Science R jobs in Wisconsin are:
What are popular job titles related to Data Science R jobs in Wisconsin? For Data Science R jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Wisconsin look for? The top searched job categories for Data Science R jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science R jobs? Cities in Wisconsin with the most Data Science R job openings:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Wisconsin as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution.
Data Science Analyst

Data Science Analyst

Generac

Waukesha, WI

Full-time

Posted 19 days ago

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

352nd of 486 rated machine equipment manufacturers

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.

The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.

*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*

Minimum Qualifications:

  • Bachelor Degree

  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:

  • Relational database experience & Experience query databases (ex: SQL, MySql).

  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).

  • Experience with statistical analysis languages (ex: R, Python, SQL).

  • Experience on using the cloud platform (ex Azure, AWS..)

  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:

  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases

  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Translating business requirements; informing data/information needs and data collection methods

  • Create custom data models & create pipelines and algorithms as needed & produce Data insights

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supporting end-users; and documenting processes and deliverables

  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:

  • Ability to write complex SQL queries, data visualization

  • Proficiency in database applications and MS Office with excellent Excel skills.

  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.

  • Ability to simplify complex findings to develop unique, practical solutions.

  • Able to understand various data structures and common methods in data transformation.

  • Excellent pattern recognition and predictive modeling skills.

  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.

  • Self-motivated and able to work with minimal direction

#LI-BB1

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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