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# DT Data Analyst Sr

- **Company:** Oshkosh Corporation
- **Location:** Lyon Charter Township, MI, United States
- **Experience:** Expert
- **Salary:** $104,100.0 - $173,900.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Computer Programming, Database Design, Excel Pivot Tables, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft Office, Open Source Technology, Power BI, Software Engineering, Unstructured Data, Large Language Models, Apache Spark, Front End Software Development, Databricks
- **Published:** May 15, 2026
- **Apply:** https://dejobs.org/x/x/88DA595E11A64CD2908D561683B7E0A6/job/

## About the Role

* Bachelors degree with four (4) or more years of experience in the field or in a related area., * Masters or doctorate degree
 * Familiarity with Power Platforms
 * Familiarity with LLM (open source or closed)
 * Experience in Front end web app development (Flaskapp, Gradioetc)
 * Familiarity with RAG architecture

## Description

As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems., * Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.

 * Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.
 * Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.
 * Collaborate with cross-functional teams (e.g. data analysts, engineers, architects, business stakeholders) to understand data science needs for business requirements of medium complexity.
 * Build complex predictive models and machine-learning algorithms. Integrate models into existing systems.
 * Perform data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes.
 * Possesses advanced understanding of data models, database design and management for structured and unstructured data.
 * Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
 * Possesses understanding of business' processes and terminology in at least one area of the business.


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