Lead Data Scientist

Role & responsibilities

• Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities.
• Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions.
• Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance.
• 8+ years of experience in the data science space preferably with the end to end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations.
• Strong project management and team management skills, Ready to work Handson
• Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work

Preferred candidate profile

• Python
• Data Science concepts
• Gen AI
• Pandas, numpy, matplotlib
• Artificial intelligence
• Statistical modelling
• Machine learning, NLP, Deep Learning
• Chatbot frameworks
• Computer vision

Perks and benefits