This role is eligible for our hybrid work model: Two days in-office.

Data Scientist

We’re a data-driven organization, which makes our Analytics and Data Science
teams the brains of our operation. On the cutting edge of customer and business
analytics, they make sure all our decisions and innovations are based on the
latest insights.

Why this job’s a big deal:

Priceline's Hotel Content Product Group is transforming how millions of
travelers experience hotel listings — moving from static property pages to
agile, personalized storefronts that surface the right content at the right
time. As a Senior Data Scientist on this team, you'll be the architect behind
that transformation. You'll build models that determine which images, amenities,
review highlights, and page layouts drive conversions — across property, room,
and rate levels — and you'll define the success metrics and scalability strategy
to automate those decisions across millions of hotels worldwide.

In this role you will get to:

* 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

📌 Data Scientist (Mumbai)
🏢 Priceline
📍 Mumbai