As a Senior Data Scientist, you will analyze and interpret datasets, build complex predictive models, and collaborate with cross-functional teams to drive business insights. You will also lead efforts to resolve data incidents and coach team members on new technologies. The ideal candidate has a strong understanding of business processes and a master's or doctorate degree in a related field.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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:
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• 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.
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• 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.
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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
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