Data Scientist

About this role

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Skills you'll use

What you'll do

• Translate ambiguous business and product questions into well-defined ML problems, and identify the signals and features that matter most.
• Build content scoring and ranking models that determine image relevance, amenity hierarchy, and review highlight selection to maximize conversion.
• Develop NLP models to extract and surface the most impactful guest review snippets for each property.
• Evaluate and iterate on GenAI applications for hotel content intelligence, including judgment model design, quality scoring, and cost/quality tradeoff analysis.
• Design and test layout optimization strategies for the Property Details Page, including section ordering by property type (e.g., city hotels vs. resorts) and platform (app vs. desktop).
• Solve content personalization challenges across three hierarchy levels: property-level differentiation, room-level comparison, and rate-level value communication.
• Define success metrics that connect content decisions to measurable business outcomes such as booking velocity, engagement, and conversion rate.
• Own models end-to-end — from development through production monitoring — and design the outcome logic that translates raw model scores into user-facing product features (e.g., badges, review keyword highlights, ranked content modules).
• Partner with Data, Product, and Technology teams to integrate model output with transactional systems, and build prototypes to demonstrate the impact of proposed changes to content decision systems.

Who can apply

• Masters or PhD degree in a quantitative or computational field (i.e., Math, Statistics, Operations Research, Computer Science, or Physics)
• 3+ years experience building and productionizing statistical and machine learning models
• Proficient in a programming language used for data analysis (R/Python) and query knowledge (SQL)
• Comfortable working on high-velocity structured and unstructured data.
• Hands-on experience with NLP techniques (text classification, entity extraction, sentiment analysis, or similar)
• Experience with ML computing on cloud platforms, with preference for Google Cloud Platform and Vertex AI (AWS or Microsoft Azure experience also considered)
• Experience with developing, scheduling, and monitoring batch-oriented workflows through platforms like Apache Airflow, Kubeflow, etc.
• Familiarity with data analysis, modeling, and visualization tools such as R and/or Python, Jupyter, SQL, Hadoop, and Tableau
• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.
• The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics is essential.

Perks & benefits

About Priceline

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