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Data Science R Jobs in Madison, WI (NOW HIRING)

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

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

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 ...

Working with weather data is really unique and amazing; weather is in perpetual evolution ... Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

Computer Science, Math, Economics Statistics). * 3-5 years of work experience in the data analytics ... Python, R, Perl, bash) * Certifications in Snowflake, Talend, AWS, Microsoft What Pandata Group ...

Nonclinical Data Associate

Madison, WI ยท On-site

$19 - $24/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... SAS, R, Python or willingness to learn within 1st year of employment. * Preclinical life science ...

Affordability Analyst III

Madison, WI ยท On-site

$90K - $155K/yr

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization ... Master's degree in Data Science, Healthcare Analytics, Healthcare Economics or a related field

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Data Science R information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do data science r jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data science r 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 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 popular job titles related to Data Science R jobs in Madison, WI? For Data Science R jobs in Madison, WI, the most frequently searched job titles are:
Infographic showing various Data Science R job openings in Madison, WI as of July 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,675 per year, or $59.5 per hour.
Data Scientist

Data Scientist

Innovizant LLC

Madison, WI โ€ข On-site

Full-time

Posted 18 days ago


Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
โ€ข 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
โ€ข Experience in Statistical modeling.
โ€ข Candidate will be helping the client to lead this process or improve upon the program.
โ€ข Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
โ€ข Extremely efficient in Python and R.
โ€ข Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
โ€ข Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
โ€ข MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com