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

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

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

... with data analytics software, such as Tableau. * Experience with computer programming in R, SAS ... Exact Sciences is proud to offer an employee experience that includes paid time off (including days ...

... with data analytics software, such as Tableau. * Experience with computer programming in R, SAS ... Exact Sciences is proud to offer an employee experience that includes paid time off (including days ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

... data analysis and analytical tasks to support scientific and operational excellence with ... Collect, organize, and analyze large datasets using programming languages like R, Python, or ...

Field Technician

Madison, WI · On-site

$20 - $27.25/hr

Your peers will be a multidisciplinary and diverse team with expertise in weather and climate, insurance, data science, technology, and R&D. In this role, you will have the opportunity to be on the ...

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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 Jun 19, 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.

B2B Inventory & Merchandising Analytics Analyst (Hybrid)

B2B Inventory & Merchandising Analytics Analyst (Hybrid)

Lands' End

Dodgeville, WI • Hybrid

Full-time

Posted 16 days ago


Lands' End rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

20th of 102 rated fashion retailers


Job description

*This is a hybrid role with three weeks per month onsite (Mon. – Thurs.). The fourth week is fully remote.

The B2B Inventory & Merchandising Analytics Analyst partners closely with merchandising, inventory planning, and B2B business leaders. This role will focus on delivering data-driven insights, demand forecasting, and inventory projections that enable smarter buying decisions and improved inventory performance for the B2B channel.

The analyst will support planners by combining business analytics, SKU-level inventory modeling, and time-series forecasting techniques to evaluate forecast accuracy, identify demand trends, and improve inventory planning decisions.

This role sits within the analytics organization and plays a key role in advancing more modern, data-driven inventory planning capabilities, including predictive forecasting and scalable analytics.

Demand Forecasting & Predictive Analytics

  • Develop and maintain SKU-level demand forecasts using statistical and time-series forecasting techniques
  • Analyze forecast accuracy by comparing historical forecasts to actual results and identifying drivers of variance
  • Apply forecasting approaches such as weighted averages, moving averages, seasonal decomposition, time-series models
  • Identify seasonal patterns, trends, and demand shifts that should be incorporated into planning models.
  • Support scenario modeling to evaluate future inventory needs and demand projections.

Inventory Planning & Optimization

  • Partner with inventory planners to evaluate buy plans and inventory strategies based on forecasted demand
  • Analyzing the impact of inventory decisions on key metrics such as fill rate, inventory coverage, stockout risk, ending inventory levels
  • Provide scenario analysis such as impact of reducing buy plans, inventory projections for future product launches, SKU-level demand projections
  • Support long-term planning models for major launches and assortment changes.

B2B Sales & Inventory Performance Analytics

  • Produce reporting and insights to monitor sales performance and inventory health of key enterprise clients
  • Develop and maintain monthly inventory performance reporting.
  • Analyze sales patterns, product performance, and purchasing behavior to inform planning decisions.
  • Analyze and provide insights on the overall program to help influence future forecasts and decisions.

Business Insights & Executive Reporting

  • Prepare inventory insights and reporting for quarterly business reviews and leadership updates.
  • Develop clear, actionable analysis that helps merchandising and planning leaders make informed decisions.
  • Translate complex data into simple insights and recommendations.
  • Strong curiosity, be able to ask the right questions to get the desired outcome from the team. 

Analytics & Data Enablement

  • Work with data engineering and BI teams to ensure planners have reliable and scalable access to inventory and sales data
  • Build dashboards and analytics solutions using tools such as Power BI.
  • Contribute to the development of modern analytics capabilities, including automated forecasting and advanced demand modeling.
  • Be able to build visuals or frame up the data in a digestible way to folks that don’t work with the numbers every day.  Both for internal and external purposes.

Skills

  • Strong analytical and quantitative skills
  • Advanced Excel and data analysis skills
  • Experience analyzing large datasets and building forecasts
  • Experience with time-series forecasting or predictive analytics
  • Familiarity with programming languages such as Python or R
  • Experience with BI tools such as Power BI
  • Retail, merchandising, or supply chain analytics experience
  • Works independently on routine tasks and requires limited supervision.
  • Contributes to team projects and collaborates effectively with peers.

Education & Experience Requirements

  • Bachelor’s degree in Analytics, Data Science, Supply Chain, Business, Economics, or a relevant field
  • 2-5 years of experience in analytics, demand forecasting, inventory analysis, or merchandising analytics

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