Digital Technology Data Scientist Lead

Oshkosh•Oshkosh, WI

14d

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. SUMMARY: 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. YOUR IMPACT : 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, data engineers, architects, business stakeholders) to understand data needs for complex business requirements . 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. Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple are a s of the business. Actively supports the advancement of the strategic roadmap for data science.

Requirements

Bachelors degree with five (5) 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 business' processes in at least one area of business and has an understanding of business processes in multiple are a s of the business.

Nice To Haves

Masters or doctorate degree
Expertise in Power Platform s
Familiarity with LLM (open source or closed)
Experience in Front end web app development ( Flaskapp , Gradio etc )
Familiarity with RAG architecture

Responsibilities

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.
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, data engineers, architects, business stakeholders) to understand data needs for complex business requirements .
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.
Actively supports the advancement of the strategic roadmap for data science.