Drive innovation as a Senior Data Scientist focusing on machine learning. Take ownership of the model lifecycle, from development to deployment, addressing key business challenges in virtual interlining.

Join a dynamic data team where you’ll leverage over 5 years of relevant experience in data science and machine learning. Collaborate with various stakeholders to integrate model insights into strategies that improve operational efficiency. Your skills in MLOps and real-time analytics will help streamline processes and enhance decision-making.

Key Responsibilities: • Lead predictive model building and deployment • Implement scalable MLOps pipelines in Spark • Utilize streaming data for real-time model applications • Optimize itinerary search and ranking outcomes • Design and manage A/B testing frameworks

Requirements: • 5+ years in data science or ML field • Bachelor's degree in Data Science or Computer Science • Experience with Spark and streaming technologie...