Lead Data Scientist

Location:: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered. (3 days in office, up to 2 days remote).

Relocation offered to Oshkosh, WI only

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 areas of the business. • Actively supports the advancement of the strategic roadmap for data science.

MINIMUM QUALIFICATIONS:

• Bachelors degree with five (5) or more years of experience in the field or in a related area.

STANDOUT QUALIFICATIONS:

• 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