1

Weekend Data Science R Jobs in Wisconsin (NOW HIRING)

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

... data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on ... Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.

Collaborate with data scientists, data engineers, business functional and product teams to ... Strong proficiency in programming languages such as Python, R, or Java. * Ability to design ...

WI · On-site

$120 - $180/hr

Delivers expert work in General R, D & I with high quality and timeliness, applying best practices ... Master's degree in Computer Science, Artificial Intelligence, Software Engineering, DataScienceor a ...

WI · On-site

$120 - $160/hr

Delivers expert work in General R, D & I with high quality and timeliness, applying best practices ... Master's degree in Computer Science, Artificial Intelligence, Software Engineering, DataScienceor a ...

Showing results 21-40

Weekend Data Science R information

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

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:

Senior Data Platform Engineer | Senior Data Platform Engineer

Johnson Controls, Inc.

Milwaukee, WI • On-site

$100 - $145/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 411 frontline employees who took The Breakroom Quiz

137th of 544 rated manufacturers


Job description

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.


For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycleservicesand an industry-leading field organization, we elevate customer performance, turn goals into real-worldresultsand help move society forward.

What we offer:
  • Competitive salary

  • Paid vacation/holidays/sick time

  • Comprehensive benefits package including 401K, medical, dental, and vision care

  • On the job/cross training opportunities

  • Encouraging and collaborative team environment

  • Dedication to safety through our Zero Harm policy

Role Summary

Johnson Controls Inc. are seeking a Senior Data Platform Engineer to design and operate a secure, scalable data platform that powers Workforce Analytics.

This role is focused on enabling high-quality, governed data consumption in Snowflake, with a strong emphasis on secure access patterns for humans, applications, and AI-driven tools.

In addition, this role will own and evolve the Posit (RStudio) platform, ensuring data scientists and advanced analysts have a seamless, secure, and performant environment for developing and operationalizing analytical workflows.

You will work across Data Engineering, Analytics, and Data Integration to ensure data is trusted, protected, and easily consumable across modern use cases.

Key Responsibilities Secure Consumption Enablement

Design and mature secure data access patterns in Snowflake for:

  • Analysts and business users
  • Applications and downstream integrations
  • AI/ML tools and agent-based consumers
  • Implement and evolve RBAC / policy-based access models
  • Define patterns for least-privilege access, scoped datasets, and governed sharing
  • Ensure secure handling of PII and sensitive workforce data
  • Partner with security and governance teams on auditability and compliance
  • Anticipate future access patterns driven by AI and automation
Snowflake Platform & Data Optimization
  • Own and optimize the Snowflake platform (performance, compute strategy, cost management)
  • Design best practices for data organization, modeling layers, and access structures
  • Enable scalable and governed data domains for Workforce Analytics
Posit Platform Ownership (R / Data Science Enablement)
  • Own and manage the Posit (RStudio) platform for Workforce Analytics
  • Ensure secure, performant connectivity between Posit and Snowflake
  • Enable best practices for:
  • Data access within R environments
  • Package and environment management
  • Reproducibility and version control
  • Support operationalization of Python & R-based analytics, models, and workflows
  • Partner with data scientists and advanced analysts to improve platform usability
  • Establish patterns for governed, scalable analytical development
Transformation & Pipeline Enablement
  • Partner with Data Engineers to productionize pipelines using Coalesce.io
  • Define standards for modular, reusable, and testable transformation logic
  • Improve pipeline reliability and maintainability
Data Reliability & Quality
  • Implement and enforce data quality checks and validation frameworks
  • Ensure reliability of critical workforce datasets (headcount, attrition, recruiting)
  • Troubleshoot data issues with strong lineage awareness
CI/CD for Data Workflows
  • Build and maintain CI/CD pipelines for data transformations and platform changes
  • Integrate workflows using Azure DevOps / GitHub
  • Enable consistent deployment practices across environments
Data Developer Experience
  • Improve platform usability for engineers, analysts, and data scientists
  • Create reusable templates and patterns across:
  • Snowflake
  • Coalesce
  • Posit workflows
  • Reduce friction while maintaining governance
Required Qualifications
  • 5+ years in data engineering or data platform engineering
  • Deep experience with Snowflake, including performance tuning and access control
  • Strong SQL and experience working with complex data systems
  • Experience with data transformation tools (Coalesce.io, dbt, or similar)
  • Experience designing data access and security models
  • Experience supporting or working with R / Posit (RStudio) environments
Preferred Qualifications
  • Experience enabling data science platforms or analytical environments
  • Exposure to Workforce / HR data and PII governance
  • Experience supporting multi-modal consumption (BI, APIs, AI/ML tools)
  • Familiarity with Azure ecosystem
  • Experience with data quality and observability tooling

HIRING SALARY RANGE: $100,000-145,000 (Salary to be determined by the education, experience,knowledge, skills, and abilities of the applicant, internal equity, and alignment with marketdata.) This role offers a competitive Bonus plan that will take into account individual, group,and corporate performance. This position includes a competitive benefits package. Theposted salary range reflects the target compensation for this role. However, we recognizethat exceptional candidates may bring unique skills and experiences that exceed the typicalprofile. If you believe your background warrants consideration beyond the stated range, weencourage you to apply. To support an efficient and fair hiring process, we may usetechnology assisted tools, including artificial intelligence (AI), to help identify and evaluatecandidates. All hiring decisions are ultimately made by human reviewers. For details, pleasevisit the About Us tab on the Johnson Controls Careers site athttps://jobs.johnsoncontrols.com/about-us

#J-18808-Ljbffr

What Johnson Controls employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Johnson Controls logo

About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US