Qualifications

• Bachelor's or Master's in Computer Science, Data Science, or Advanced Mathematics.
• 5-8+ years experience with advanced data science techniques and frameworks.
• Proficient in programming languages such as Python, SQL, and C#.
• Experience with LLMs, RAG, Vector Databases, and GenAI Solution Patterns.
• Familiar with cloud services like Azure ML, AWS ML, and Databricks.
• 2+ years managing data and AI engineering teams.
• Possess an AI-first mentality in software development.

Responsibilities

• Grow the Data Science and Analytics practice through strategic initiatives.
• Drive business development, resource allocation, and ensure quality project delivery.
• Monitor and evaluate the business impact of analytics initiatives.
• Help formulate go-to-market strategies for AI and ML services.
• Deliver customer demonstrations to showcase data's business value.
• Create proposals and Statements of Work (SOWs) for potential clients.
• Collaborate with sales and practice leaders to enhance data science service offerings.
• Manage end-to-end sales cycles for high-potential clients.
• Assess business impact for managed analytics customers' portfolio.
• Lead and develop the data science team while planning and staffing projects.

Benefits

• Opportunity to lead and shape the data science practice.
• Direct involvement in strategic business development processes.
• Access to advanced technology and tools for project execution.
• Professional growth with training on best practices and new technologies.
• Engagement with high-profile clients in the analytics space.