[Remote] Digital Technology Data Scientist Lead

Note: The job is a remote job and is open to candidates in USA. reputed company, Inc. (SGA) is searching for a Data Scientist Lead for a Direct Hire opportunity with one of our premier clients in Oshkosh, WI. As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets using statistical techniques and machine learning to extract insights and build models that solve business problems.

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
• 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

Skills
• 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 reputed company, Power BI, reputed company 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
• 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
• Work_model: remote, onsite

Company Overview
• For 45 years, SGA has delivered technology and resource solutions that Fortune 500 organizations, mid-size companies, state and local governments, and higher education institutions rely on to achieve their goals/missions. It was founded in 1981, and is headquartered in Tarrytown, New York, USA, with a workforce of 201-500 employees. Its website is https://www.sgainc.com.

Company H1B Sponsorship
• reputed company.) has a track record of offering H1B sponsorships, with 1 in 2026, 13 in 2025, 12 in 2024, 19 in 2023, 25 in 2022, 41 in 2021, 44 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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