Oshkosh Corporation ยท 1 month ago
Digital Technology Data Scientist Lead
Oshkosh Corporation is a leading manufacturer of specialty trucks and access equipment, committed to serving communities globally. The Data Scientist Lead will analyze datasets using statistical techniques and machine learning to extract insights and build predictive models that address business challenges.
AutomotiveIndustrialManufacturing
Responsibilities
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 areas of the business
Actively supports the advancement of the strategic roadmap for data science
Qualification
Required
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
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 areas of the business
Actively supports the advancement of the strategic roadmap for data science
Preferred
Masters or doctorate degree
Expertise in Power Platforms
Familiarity with LLM (open source or closed)
Experience in Front end web app development (Flaskapp, Gradio etc)
Familiarity with RAG architecture
Benefits
Competitive total rewards package
People-first culture
Various opportunities to support team member growth and success
Company
Oshkosh Corporation
Moving the world forward.
H1B Sponsorship
Oshkosh Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2022 (2)
Funding
Current Stage
Public CompanyTotal Funding
unknown1985-10-11IPO
Leadership Team
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