Lead D&T Data Scientist

KEY ACCOUNTABILITIES

• AI and ML strategy:
• Develop and implement AI and ML strategies aligned with business objectives.
• Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.
• Constructively challenge the other data scientists on approach
• Utilize and provide expertise in leading AI platforms, frameworks, and libraries.
• Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.
• Lead the AI solutions deliver:
• Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
• Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions
• Model development and Explorations:
• Lead and contribute to the development of machine learning models from ideation to production deployment.
• Hands-on experience with Google Cloud Platforms Vertex AI for building, deploying, and managing machine learning models.
• Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.
• Lead explorations for AI techniques, platforms and tools.
• Team Management:
• Mentor and development of a team of 4-5 data scientists.
• Team Collaboration and Communication.
• Own development of the resources and career progression
• Guide Project Prioritization and Resource Allocation.
• Collaborate with global partners to evolve ways of working
• AI Literacy and Mentorship to broader organization:
• Mentor and guide a team of data scientists in approach for AI solution delivery.
• Foster a collaborative and innovative team environment.
• Contribute to the overall effort to educate stakeholders on AI practices.
• Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.

MINIMUM QUALIFICATIONS

• Tier1 + 5+yrs experience OR 8+ years in providing data science solutions with overall 12+yrs of Industry experience
• Bachelor s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute
• Proven skills in leading implementations of AI solutions
• Experience in managing team
• Experienced in providing technical mentorship
• Technical Concepts- MLOps, Containerization, Data Lineage and Visualization
• Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups
• Excellent stakeholder management skills and storytelling skills
• Expert level
• AI solutions architecture
• Supervised ML algorithms, optimization, and performance tuning
• Google Cloud Platform Vertex AI, BQ, Composer, Cloud Storage; Open to other cloud experience Azure, AWS
• ML supervised algorithms
• CPG domain either on Commercial or supply chain
• Python, SQL
• Intermediate Level
• MLOps
• GCP cloud architecture/ Any other cloud
• AtScale & Alation
• Deep Learning
• Basic Level
• Container, GKE

PREFERRED QUALIFICATIONS

• Publications or contributions to the data science and AI community.
• Certifications in AI, machine learning, or related fields.