Principal Data Scientist - Vendor Recommendations & AI

Requirements

• End-to-End Ownership: Lead the design, build, and deployment of large-scale AI recommendation systems
• Next Best Action (NBA) Framework: Own the architecture and modeling for determining the optimal sequence and timing of actions
• Strategic Time-Series & Forecasting: Lead all core initiatives in advanced time series modeling
• Commercial Insights & Take Rate: Act as the technical authority for take rate optimization
• Cross-Functional Alignment: Act as the primary technical partner for Product, Engineering, and Commercial teams

Nice to Haves

• Expertise in Reinforcement Learning (RL)
• Familiarity with Game Theory or Mechanism Design
• Major Contributions in Large-Scale Recommendation Systems or Time-Series Forecasting
• Expertise in designing feature stores and serving pipelines for sequence and time-series features

What You'll Be Doing

• Lead the design, build, and deployment of large-scale AI recommendation systems
• Own the architecture and modeling for determining the optimal sequence and timing of actions
• Lead all core initiatives in advanced time series modeling
• Act as the technical authority for take rate optimization
• Act as the primary technical partner for Product, Engineering, and Commercial teams

Perks and Benefits

• Hybrid working model for face-to-face connection and collaboration
• 27 days holiday with an extra day on 2nd and 3rd year of service
• Development opportunities with an Educational Budget, Language Courses, and more
• Health benefits including Health Checkups, Meditation, Gym & Bicycle Subsidy
• Financial perks like Employee Share Purchase Plan, Life & Accident Insurance, and more
• Meal vouchers, Corporate Discounts, and more