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 techn...