Onsite Data Science Analyst - AI & Analytics for Enterprise

Generac Power Systems Inc

North Prairie (WI)

On-site

USD 75,000 - 105,000

Full time

4 days ago
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Job summary

Generac Power Systems Inc in Wisconsin is seeking a Data Science Analyst to join the Data Analytics and Business Intelligence team onsite in Waukesha. The role focuses on analyzing structured and unstructured data, building predictive models, and delivering actionable insights to support operations.

Candidates should have a Bachelor's degree and at least one year of related experience; preferred skills include SQL, Python, R, data visualization, and cloud platforms such as Azure or AWS.

Qualifications

  • Bachelor Degree in Math, Statistics, or Computer Science is required.
  • 1 year of work experience in Math, Statistics, or Computer Science preferred.
  • Relational database experience and SQL querying is desirable.
  • Experience with statistical tools or languages (R, Python, SQL) is beneficial.

Responsibilities

  • Develop and analyze data to support Enterprise Transformation initiatives and AI use cases.
  • Prepare data for analytics by cleaning and consolidating across sources.
  • Create data models, pipelines, and algorithms to deliver insights for operations.
  • Collaborate with business teams to translate requirements into data solutions and documentation.

Skills

SQL
Data visualization
Excel
Analytical thinking
Communication
Project management

Education

Bachelor's degree in Math, Statistics, or Computer Science

Tools

MatLab
Minitab
SPSS
R
Python
Azure
AWS

Job description

Generac Power Systems Inc in Wisconsin is seeking a Data Science Analyst to join the Data Analytics and Business Intelligence team onsite in Waukesha. The role focuses on analyzing structured and unstructured data, building predictive models, and delivering actionable insights to support operations.

Candidates should have a Bachelor's degree and at least one year of related experience; preferred skills include SQL, Python, R, data visualization, and cloud platforms such as Azure or AWS.

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