As a Data Scientist at Oshkosh, the business problem is 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
- Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
- 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 highly complex predictive models and machine-learning algorithms.
- Execute Integration into existing systems or creation of new products.
- Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes.
- Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
- Coach and mentor other team members on new technologies and best practices across data science and business intelligence.
Other
- Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.
- Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business.
- Actively supports the advancement of the strategic roadmap for data science.
- Bachelors degree with five (5) or more years of experience in the field or in a related area.
- Masters or doctorate degree
