Booking Holdings, Inc.

Data Scientist II About the Trips Business Unit From our hubs in Manchester, London & Amsterdam our Trips Business Unit helps people get where they want to go anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi, the economy of public transport or an endless variety of exciting activities, we make it all possible. Our team is passionate about helping people travel. They see challenges as opportunities. And they're always ready for change. We're passionate about the connected trip. We seek to offer our customers the best and most relevant products for their trip, with a booking experience to match. We cater for customers that are just starting their research and those that are complementing their existing journey. We do this by keeping the customer front of mind in all decisions, tailoring our inventory & pricing options to ensure you're able to book the best product for your needs at the best price possible. Role Overview This data scientist II role is the core DS level within booking - it is not an entry level role so we are looking for a candidate with relevant experience of utilising data science skills within a commercial environment. As a Data Scientist II, you will be working within the Trips Data Science & Analytics (DS&A) team, reporting directly to the Senior Manager of DS&A in Manchester. You will be involved in various stages of data science solutions, from ideation to implementation. You will be working independently on data consumption and preparation, effectively solving business problems through statistical data analysis and modeling. This role involves looking across the full spectrum of our trips products, considering how we might improve the customer experience by combining data from multiple sources. As a Data Scientist II you are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Trips as a whole. You are also responsible for ensuring the quality of your work through peer review. The successful candidate will collaborate with the wider trips DS&A across the trips verticals, helping steer decision making through relevant and actionable data insights & innovative new ways of looking at our business. You will be closely collaborating with other data scientists, analysts & machine learning scientists to develop strategic insights, uncover growth opportunities, and identify key drivers of booking trends. Join us and help us solve critical business problems and questions, to help users plan and book their best trip in the most seamless way possible. Key Job Responsibilities and Duties The role will primarily involve supporting the trips teams through innovative insights & recommendations. Partner with commercial, data engineering and product teams to develop new methods for understanding how our business decisions impact our customers. Understand the vision and strategy of product optimisation activities and develop and own data science roadmaps in order to execute. Develop knowledge and awareness of trips economics in order to drive and influence the product roadmap across both product & commercial functions. Look outside of the immediate short term Connected Trip perspectives, determining & optimising for long term metrics. You will work closely with the product & engineering, data management & data engineering teams to support our product vision. Strong skills in stakeholder management and business acumen will ensure your work is impactful and can influence the business decisions of your stakeholders. Responsible for providing data science support to our product stakeholders, to enable them to make data-driven decisions Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making Responsible for designing & delivering entire data science solutions working closely with product and research teams Continuously review product engagement and performance, generate insights and provide hypotheses for newer experimentation to drive product growth Implement learnings in replicating product success to other areas within Intent Discovery and Platform Role Qualifications and Requirements Proven experience working in Data Science roles; advanced degree preferred (Statistics, Econometrics, Applied Mathematics, or similar) (mandatory) Strong background in ranking / economics Strong working knowledge of statistics (mandatory) Descriptive Statistics Standard Deviation, Skewness etc. Inferential Statistics Hypothesis testing Confidence intervals, p-values, Correlation vs Causation Type I and Type II errors Strong working knowledge of Experimentation (mandatory) A/B testing Power analysis & sample size determination Familiarity with biases in experimentation. Strong working knowledge of SQL and at least one scripting language (Python or R) (mandatory) Analytical, strategic, humble, entrepreneurial, and data-driven (mandatory) Comfortable interacting with stakeholders throughout the global organization (mandatory) Strong communication and presentation skills (mandatory) Very strong commercial acumen (mandatory) Flexibility to accommodate change and thrive in ambiguity (mandatory) Familiarity with optimisation techniques. Diversity, Equity and Inclusion (DEI) at Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: "At the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech." We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process Let's go places together: How we Hire The interview process entails: This role does not come with relocation assistance. is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.