Senior Data Scientist

Posted An Hour Ago
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Mumbai, Maharashtra, IND
In-Office
Senior level
Travel
The Role
The Senior Data Scientist will translate business problems into ML challenges, develop scoring and ranking models, and design content personalization strategies while collaborating across teams.
Summary Generated by Built In

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

Senior 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 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 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 you are:

  • Masters or PhD degree in a quantitative or computational field (i.e., 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 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.

#LI-hybrid

Who We Are

WE ARE PRICELINE.

Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers. 

Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.  

We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.

Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable. 

If you want to be part of something truly special, check us out! 

Flexible work at Priceline

Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.

Perks & Benefits at Priceline

Our benefits are designed to support your health, wellbeing, and life inside and outside of work. Eligible Priceliners have access to:

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.

Inclusion is a Big Deal!

To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.

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.

Applying for this position

We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.

External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.

Skills Required

  • Masters or PhD degree in a quantitative or computational field
  • 5+ years experience building and productionizing statistical and machine learning models
  • Proficient in R, Python and SQL
  • Experience with NLP techniques
  • Experience with ML computing on cloud platforms
  • Experience with batch-oriented workflows using platforms like Apache Airflow or Kubeflow
  • Familiarity with data analysis, modeling, and visualization tools

Priceline Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Priceline and has not been reviewed or approved by Priceline.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, including medical, dental, and vision offerings alongside an EAP. Fitness reimbursement is also described as part of the standard health-and-wellness set.
  • Leave & Time Off Breadth Time away is framed as well-supported through paid time off, company holidays, and paid volunteer days. These elements collectively broaden the non-cash value of the package for many employees.
  • Fair & Transparent Compensation Pay is characterized as fair-to-decent in parts of the organization, with certain technical roles described as competitive. Total rewards can feel more acceptable when benefits and travel-related perks are factored in.

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The Company
New York, NY
1,339 Employees
Year Founded: 1998

What We Do

At Priceline, part of Booking Holdings, Inc. [NASDAQ: BKNG], we believe every trip is a big deal to our customers. Whether it’s a much-needed getaway, wedding, reunion, graduation, or rooting on a favorite team—those are the moments that nobody should miss out on. Our mission? Be the best travel dealmakers in the world. We provide our customers with smart and easy ways to access the very best deals available on hotel rooms, flights, rental cars, vacation packages and cruises, so they can be there for the moments that matter the most to them. We do that by welcoming people who are at the top of their game, who want to learn and grow with others and who take their work seriously (but not themselves). We’re building a diverse and uniquely talented team to make sure our customers can be there for all those {big deal} moments. Come join us!

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