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From Home R Shiny Developer Jobs in Wisconsin (NOW HIRING)

ComForCare

In-Home Caregiver

Jackson, WI · On-site

$16.50 - $17.50/hr

... home.]r Responsibilities: * Provide personal care assistance including bathing, dressing, and ... employer from ComForCare and any of its affiliates or subsidiaries. You understand that each ...

Whirlpool

Sr. Quality Engineer- Supplier

Racine, WI · On-site

Proven competency in core quality tools such as Control plans, FMEA, Capability studies, Gage R&R ... Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.

Genesis10

Entry Level Software Developer

Milwaukee, WI · On-site

Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ... from academic coursework, hands-on projects, or professional work. Experience must be in one or ...

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From Home R Shiny Developer information

What is the difference between From Home R Shiny Developer vs From Home Data Analyst?

AspectFrom Home R Shiny DeveloperFrom Home Data Analyst
Required SkillsProficiency in R, Shiny, data visualizationData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, project-basedRemote, reporting-focused
Industry UsageTech, healthcare, financeMarketing, finance, consulting

While both roles often work remotely and require data skills, From Home R Shiny Developers focus on building interactive web applications using R, whereas From Home Data Analysts analyze data sets to generate insights. The developer role emphasizes coding and app deployment, while the analyst role centers on data interpretation and reporting.

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From Home R Shiny Developer jobs near you
Digital Personalization Analytics Expert (Remote)

Digital Personalization Analytics Expert (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 11 days ago

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,452 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl’s customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You’ll Do

  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value

  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment

  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies

  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders

  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability

  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence

  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications

  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards

  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact

  • Establish and maintain strong working relationships and achieve results by working collaboratively with others

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field

  • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience

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

  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub

  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred

  • Master's degree and/or Ph.D.

  • Digital / Ecommerce data science experience

  • Retail and Marketing experience

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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