Senior Data Scientist, Applied AI and Agentic Solutions Engineer

📋 Description

• Model complex business problems and identify meaningful insights using statistical, algorithmic
• Partner with business and product stakeholders to identify analytical questions, define
• Conduct advanced statistical analysis on business and experimental data to validate trends
• Develop predictive models, algorithms, probability engines, and AI-driven capabilities, evaluating
• Design, develop, test, and deploy generative AI and agentic solutions that support enterprise
• Build Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking

🎯 Requirements

• Bachelor’s degree in computer science, data science, statistics, economics, or a related
• At least 6 years of experience in analytics, data science, machine learning, AI solution
• Demonstrated experience developing and deploying AI, generative AI, and analytics solutions for
• Experience working across the complete solution lifecycle, including requirements gathering
• Strong proficiency in Python and familiarity with modern application technologies such as React
• Hands-on experience with LLMs, machine learning, vector embeddings, semantic search, Snowflake

🎁 Benefits

• Remote work opportunity within the United States.
• Opportunity to work on enterprise-scale AI, data science, analytics, and agentic technology
• Collaborative environment focused on innovation, continuous learning, and cross-functional
• Exposure to emerging technologies including generative AI, LLMs, RAG, intelligent agents, semantic
• Supportive workplace that values collaboration, inclusion, and diverse perspectives.
• Opportunities to contribute to solutions with broad organizational and customer impact.