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Weekend Data Science R Jobs in Wisconsin (NOW HIRING)

Experience with Python, R, SQL, and advanced Excel * Experience with data modeling, predictive ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

Experience with Python, R, SQL, and advanced Excel * Experience with data modeling, predictive ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

Leverage GCP BigQuery environment and data science tools (i.e. SQL, Python, or R) to develop and improve upon core statistical testing code * Work in a matrixed organization with multiple ...

Experience with a data science programing language such as R or Python. Proficiency with at least one of these tools is preferred. WFAA is committed to provide our employees with an environment that ...

... with scientists within probiotics R&D. IFF is a global leader in flavors, fragrances, food ... Under supervision, curate data, build models, create-reports, dashboards, or simple applications to ...

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 ...

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shopfloor data ... Serves as a technical link between manufacturing, QA, and R&D. * Supports execution of new product ...

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shopfloor data ... Serves as a technical link between manufacturing, QA, and R&D. * Supports execution of new product ...

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shop-floor ... Serves as a technical link between manufacturing, QA, and R&D. * Supports execution of new product ...

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Weekend Data Science R information

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

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 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.
Data Analyst

Data Analyst

Zantech

On-site

Full-time

PTO

Posted yesterday


Job description

Are you looking for your next challenge? Are you ready to work with a performance-based small company? At Zantech, we are a dynamic Woman Owned Small Business focused on providing complex, mission-focused solutions with a proven track record of outstanding customer performance and high employee satisfaction. We would love to talk with you regarding the next step in your career. Come join our team!

Zantech is looking for a talented Data Analyst to contribute to the success of our upcoming Information Technology Support Services project for an On-site role at Fort McCoy, WI.

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis, predictive analytics, data visualization, and Machine learning support and data modeling in support of the 88th RD AO.

Summary:

The Data Analyst provides distributed data analysis support across the 88th RD Area of Operations. This analyst applies advanced statistical techniques, builds data models, and creates visualizations to support G6 initiatives and improve readiness. Coordinates closely with the on-site team.

Responsibilities include, but will not be limited to:

  • Perform remote data collection, cleaning, transformation, and analysis
  • Apply statistical methods and machine learning techniques to datasets
  • Develop visualizations and dashboards using Tableau, Power BI, or similar tools
  • Deliver actionable recommendations to stakeholders at technical and non-technical levels
  • Coordinate with on-site Fort McCoy DABAL team and COR/DGR
  • Stay updated on emerging data analysis technologies

Required Experience or Knowledge of the following technologies/functions:

  • 2-3 years of relevant data analysis experience.
  • Strong understanding of statistical concepts, data analysis methodologies, and business operations
  • Experience with Python, R, SQL, and advanced Excel
  • Experience with data modeling, predictive analytics, and machine learning techniques
  • Experience with Tableau, Power BI, or similar data visualization platforms
  • Working knowledge of hypothesis testing, regression analysis, and time series analysis
  • Ability to collect, clean, transform, and manipulate large datasets
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently in a self-starting, remote environment

Required Education:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
  • 2-3 years of relevant data analysis experience
  • Education Preferred:
    • Bachelor's d Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or Data Science

Required Certifications:

  • DoD Cyber Awareness Training (required prior to network access and annually thereafter; IAW DoDD 8140.01/DoDM 8140.03/AR 25-2)
  • AT Level I Awareness Training (within 30 calendar days of performance start)
  • iWATCH Army Training (within 30 calendar days of performance start)
  • ATCTS (Army Training Certification Tracking System) registration required
  • Preferred Certifications:
    • Microsoft Certified: Data Analyst Associate (Power BI)
    • Tableau Desktop Specialist or Certified Data Analyst
    • SAS Certified Data Scientist or equivalent

Required Security Clearance:

  • US Citizenship and the ability to obtain and maintain a NACI or higher clearance, per contract requirements.

Other Requirements:

  • Required training includes DoD Cyber Awareness, AT Level I, iWATCH, and ATCTS registration.
  • Travel requirements vary (525%) annually

Outstanding PerformanceAlways!

Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment. Come join our team!