Senior Data Scientist

Priceline; Mumbai; Hybrid; INR 1,800,000 - 2,600,000; Full time

Benefits offered by this job

Health & wellness coverage

Paid time off

Work flexibility (hybrid)

Retirement plan contributions

Travel discounts for Priceline

Catered meals and office perks

Job summary

Priceline is seeking a Senior Data Scientist in a hybrid role with two in-office days. You will translate business questions into ML problems, build ranking and content scoring models, and develop NLP solutions to surface the most relevant reviews and snippets for hotel listings.

You will own end-to-end models from development to production monitoring and define success metrics tied to bookings and engagement.

Qualifications

• Masters or PhD in a quantitative or computational field (Math, Statistics, OR, CS, or Physics).
• 5+ years experience building and productionizing statistical and ML models.
• Proficient in Python and/or R and SQL for data analysis.

Responsibilities

• Translate ambiguous business and product questions into well-defined ML problems and identify key signals and features.
• Build content scoring and ranking models to maximize content relevance and conversions.
• Develop NLP models to surface impactful guest review snippets for properties.

Skills

Python

R

SQL

NLP

Airflow

Kubeflow

Hadoop

Tableau

Jupyter

Education

Masters or PhD in quantitative/computational field

Tools

GCP Vertex AI

AWS

Azure

Apache Airflow

Kubeflow

Hadoop

Jupyter

Tableau

Job description

Hybrid work model: Two days in-office.

Senior Data Scientist

We’re a data‑driven organization, and our Analytics and Data Science teams are 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 dynamic, 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 trade‑off 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 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 You Are

• Masters or PhD degree in a quantitative or computational field (Math, Statistics, Operations Research, Computer Science, or Physics).
• 5+ years experience building and productionizing statistical and machine learning models.
• Proficient in a programming language used for data analysis (R/Python) and query languages (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.
• Unquestionable integrity and ethics is essential.

Perks & Benefits At Priceline

• Health & wellness coverage including medical, dental, vision, and mental health resources.
• Generous time off including PTO, holidays, a company‑wide Priceline Pause reset week, and paid volunteer days.
• Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location).
• Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax‑advantaged accounts.
• Signature travel perks including employee‑only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits.
• Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits.
• A people‑first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together.

Specific benefits and programs vary by location.

Priceline is a proud equal‑opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love for you to join us and help shape what makes our team extraordinary.