Data Scientist

Sorry, this job was removed at 08:20 p.m. (CST) on Wednesday, Jul 09, 2025
Dallas, TX
In-Office
100K-125K Annually
Travel
The Role

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

Data Scientist

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.

Why this job’s a big deal:

Seeking an experienced and proactive Senior Data Scientist to join our innovative team. The ideal candidate will be responsible for building causal systems that support pricing experiments for our business. This role will require expertise in quasi-experimental methods, A/B testing and familiarity with dashboard tools (such as Streamlit) and AWS.

In this role you will get to:

  • Implement and oversee quasi-experimental methods for experiment validation, including Synthetic Difference-in-Differences (DiD), Bayesian Structural Time Series, and causal graphs.

  • Automate data processes and experiment workflows to enhance efficiency and reliability.

  • Collaborate closely with data scientists, pricing analysts, and other stakeholders to ensure the experiments are validated.

  • Develop and maintain Streamlit applications for test design input and dashboard results display.

  • Continuously monitor and improve application performance and data workflows.

  • Ensure robust statistical methods are applied to achieve high-confidence results.

  • Provide technical support for users of the applications and analyses.

Who you are:

  • Master's degree in Data Science, Statistics, Machine Learning, or related field.

  • 7+ years of experience in data science.

  • Strong clean coding skills in Python, with extensive knowledge of quasi-experimental methods and A/B testing.

  • Strong understanding of statistical analysis and experimental design.

  • Experience working with cloud platforms, preferably AWS.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and collaboration skills.

Preferred Qualifications:

  • PhD in Data Science, Statistics, Machine Learning, or related field.

  • Familiarity with machine learning concepts (e.g. reinforcement learning) and tools.

  • 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-JB1 #LI-Hybrid

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, certain roles may be eligible for an annual bonus and/or equity grant.

The salary range for this position is $100,000k - $125,000k  USD.

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.

Diversity and Inclusion are a Big Deal!

To be the best travel dealmakers in the world, it’s important we have a workforce that reflects the diverse 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 you to join us and add to our rich mix! 

Applying for this position

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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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