We’re seeking a Sr. Data Scientist/Senior Machine Learning Engineer to help design and deploy machine learning models for a suite of AI-powered products across the travel and hospitality space. This includes use cases in cruise, rail, airline, hotel upgrades, and ancillary services. The goal is to create a centralized intelligence layer that personalizes offers, optimizes pricing, and supports product decisions across multiple business lines. This role is ideal for someone who enjoys building from the ground up. You’ll work on a greenfield ML system—starting with one product line, proving out success, and then scaling the solution across additional partners and verticals. Role will be remote, contract. What You’ll Do • Collaborate with product and engineering to define modeling strategies and success metrics. • Architect and implement machine learning models that support real-time decision-making. • Ingest contextual and behavioral data through APIs to power intelligent pricing and recommendation systems. • Design and build scalable ML pipelines from training to deployment using Amazon SageMaker Studio. • Address common ML challenges like sparse data, partial signals, and cold start problems. • Customize and tune models based on partner-specific data and business logic. • Ensure solutions are reusable, scalable, and support both B2B and B2C deployment models. Must-Have Qualifications • 7+ years of experience building and deploying ML models in production environments. • Deep hands-on experience with Amazon SageMaker Studio. • Strong knowledge of the following ML techniques: • Contextual Bandits – for real-time pricing and recommendations. • XGBoost – for high-performance predictions on structured/tabular data. • K-Means Clustering – for segmentation and unsupervised learning. • Linear Regression – for baseline modeling and trend forecasting. • Proficient in Python and SQL. • Experience with data platforms such as Redshift, Snowflake, or similar. • Proven ability to independently take solutions from concept to production—this role requires autonomy. Nice-to-Have • Experience in travel, hospitality, ecommerce, or transportation industries. • Background in economics, operations research, or pricing optimization. • Familiarity with reinforcement learning or dynamic offer generation. • Experience working with multi-tenant ML systems or B2B/B2C hybrid models Why Join • Build and scale cutting-edge ML models that will serve millions of global travelers. • Help shape an AI infrastructure designed to support multiple product verticals. • Be part of a highly collaborative, senior-level team with the opportunity to influence foundational architecture and modeling approaches.