Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders..

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

Requirements

10+ years of overall experience in Data Science / Machine Learning
4+ years of hands-on experience in Recommendation Systems
Proven expertise in recommendation algorithms and MLE practices
Strong programming skills in Python and PySpark
Experience working with Databricks, Azure, and Google Cloud Platform (GCP)
Demonstrated leadership and project management experience
Strong communication, client-facing, and stakeholder management skills
Proactive, accountable, and able to take ownership of complex initiatives
Ability to apply various analytical models to business use cases
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.