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 for Oshkosh.
Requirements
- Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
- Build complex predictive models and machine-learning algorithms.
- Possesses advanced understanding of data models, database design and management for structured and unstructured data.
- 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.
- 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.
Other
- Collaborate with cross-functional teams (e.g. data analysts, engineers, architects, business stakeholders) to understand data science needs for business requirements of medium complexity.
- Possesses understanding of business' processes and terminology in at least one area of the business.
- Bachelors degree with four (4) or more years of experience in the field or in a related area.
- Masters or doctorate degree
- This position follows Oshkosh Corporation’s hybrid work model, with three days in-office and two days remote each week.
