DT Data Analyst Sr
About The Position
At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. 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.
Requirements
- Bachelors degree with four (4) or more years of experience in the field or in a related area.
- Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
- Possesses advanced understanding of data models, database design and management for structured and unstructured data.
- Possesses understanding of business' processes and terminology in at least one area of the business.
Nice To Haves
- Masters or doctorate degree
- Familiarity with Power Platforms
- Familiarity with LLM (open source or closed)
- Experience in Front end web app development (Flaskapp, Gradio etc)
- Familiarity with RAG architecture
Responsibilities
- 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.
- Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
Benefits
- competitive total rewards package
- people-first culture
- various opportunities to support team member growth and success
- reasonable accommodation to job applicants with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
