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Tier-1 brand, mid-level Data Scientist title, metro location, and popular ML role increase candidate competition.
ML/NLP and production experience transfers across industries, though content/travel domain knowledge is beneficial.
Multiple mandatory ML, NLP, cloud, and productionization skills plus explicit 3+ years increase shortlisting rigidity.
Lead development of machine learning models to personalize hotel content including images, amenities, and reviews for millions of properties.
Define success metrics linking content personalization to booking velocity, engagement, and conversion rate and own models from development through production monitoring.
Collaborate with cross-functional teams to integrate ML outputs into product features and optimize layout and content ranking strategies at property, room, and rate levels.
Master's or PhD in quantitative or computational field (Math, Statistics, Operations Research, Computer Science, or Physics).
3+ years experience building and productionizing statistical and machine learning models.
Proficiency in programming languages for data analysis (R/Python) and SQL querying.
Experience with NLP techniques, cloud ML platforms (preferably Google Cloud Platform and Vertex AI), and workflow orchestration tools such as Apache Airflow or Kubeflow.
Experienced in end-to-end ML project execution with a focus on customer and business analytics for large-scale online platforms.
Skilled in NLP and has worked with structured and unstructured data to enhance product personalization and conversion.
Comfortable working in hybrid environments collaborating with Data, Product, and Technology teams to deliver data-driven product features.