Lead Data Scientist- Recommendation Systems

Key Responsibilities

• Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment.
• Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
• Collaborate with engineering and product teams to integrate ML solutions into business applications.
• Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives.
• Provide technical guidance and mentorship to junior data scientists and engineers.
• Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills.
• Drive innovation by exploring and implementing new techniques in recommendation systems and AI.
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.