AI/ML Data Science Hybrid: 3 days onsite – Exton, PA 19341 Non Visa Candidates Only Project Overview The team has been building AI/ML models and is currently developing new models. They are finishing a project completed last year, with the goal of: Finalizing the previous project. Building a new set of models. Developing maintenance models. Current Team & Hiring Need The team currently has three resources, but they are not satisfactory right now. They need one individual immediately. Expectation: Perform data science work with a strong understanding of AI/ML. Work alongside a Business Analyst (BA) who will provide necessary data. Challenge and validate the data being fed into models. Teach and guide the team on best practices. Role & Responsibilities Data Science Dominance: 60-70% of modeling work involves data science (data preparation, validation). AI/ML complements data science once the data is well-prepared. Candidates need a data science background with ML expertise to support model development. Use Case Work: Understand and analyze business use cases. Interpret data and explain insights to business users. Provide an example of a past data analysis case, including: How they arrived at a conclusion from the data. How they determined whether the data was sufficient for modeling. Project Scope Modeling for the parent company with a focus on customer service. Data sources include: Customer service interactions, invoicing data, purchasing orders, and usage data. Goal: Use this data to predict customer needs in 3-4 months and expand insights across different product lines. Technical Requirements Snowflake is the primary data warehouse where all data is deployed. Front-end work is done on Stream. Python is commonly used. Open to strong skill sets in new technologies; Snowflake experience is not a hard requirement but is beneficial. Cloud experience is not required.