Senior Data Scientist

Priceline.com LLC; Mumbai; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Health coverage

Generous PTO

Travel perks

Tuition support

Job summary

Priceline.com LLC is seeking a Senior Data Scientist for the Hotel Content Product Group. This hybrid position requires you to translate business questions into machine learning problems while developing models that enhance content relevance.

The ideal candidate will have experience with statistical modeling, proficiency in programming languages like R or Python, and a strong background in NLP techniques. Benefits include generous PTO, health coverage, and travel perks.

Qualifications

• Master's or PhD degree in Math, Statistics, Operations Research, Computer Science, or Physics.
• 5+ years of experience building and productionizing statistical and machine-learning models.
• Proficiency in programming languages for data analysis and knowledge queries.

Responsibilities

• Translate business questions into well-defined ML problems.
• Build content scoring models to maximize conversion.
• Develop NLP models to extract impactful guest review snippets.

Skills

Programming in R or Python

SQL knowledge

NLP techniques

Experience with ML models

Cloud platforms (GCP, AWS, Azure)

Education

Master’s or PhD in a quantitative field

Tools

Apache Airflow

Tableau

Hadoop

Job description

Senior Data Scientist – Hotel Content Product Group

Hybrid: Two days in-office.

Responsibilities

• 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 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 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.

Qualifications

• Master’s or PhD degree in a quantitative or computational field (Math, Statistics, Operations Research, Computer Science, or Physics).
• 5+ years of experience building and productionizing statistical and machine‑learning models.
• Proficiency 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. Unquestionable integrity and ethics is essential.

Benefits

• Hybrid work model with two days in‑office; remaining days remote or in‑office.
• Health and wellness coverage, generous PTO, holidays, and company‑wide Priceline Pause reset week.
• Work/life support including up to 4 weeks per year from anywhere, parental leave, dependent care, family support resources, Summer Fridays.
• Financial security programs such as retirement plans with company contributions, life and disability coverage, tax‑advantaged accounts.
• Travel perks with employee‑only discounts on hotels and flights, virtual Visa deals, and travel partner discounts.
• Other perks: tuition support, legal support, pet benefits, and employee‑resource‑group engagement.

Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world.