Data Scientist II- Flights

Join Booking.com as a Data Scientist II in Flights

About Us

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

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 or the economy of public transport, 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.

Our Flight business is one of the cornerstones of the connected trip. We aim to offer the best and most convenient flights to every customer, whether they start their trip by buying a flight or complement their existing journey with a flight. We do this by having the best inventory available at the most competitive prices powering a site that solves all the difficulties of booking a flight today!

Role Description

As a Data Scientist II, you will be working within the Flights Data Science & Analytics team and 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 interpreting experimental data to guide business decisions, uncovering new opportunities, and engaging with stakeholders. 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 Flights. You are also responsible to ensure the quality of your work through peer review.

As a successful candidate you will be collaborating closely with the Apps Discovery and Engagement team, and with the broader Flights CCJ DSnA team. As a DS II, you will be involved in various stages of data science solutions, from ideation to implementation, helping steer the product development decisions by providing relevant and actionable data insights. You will be closely working within the ADE product team on generating insights on how users interact with our B.com/flights Apps, and how to measure the long term engagement of our customers. You will be also helping steer the Genius benefits in Flights, by analysing new campaigns and deals exclusive for our Genius customers.

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

• Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
• Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.
• Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.
• Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Flag roadblocks, prioritizes their workload, and manage expectations with stakeholders. Begins to guide junior colleagues in stakeholder engagement.
• Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers when a more efficient way presents itself.
• Responsible for ensuring quality of their own work by validating it through peer review.

Role Qualifications and Requirements

• Master degree, or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)
• PhD or 3+ years of experience
• Experience solving real problems using data mining techniques and with statistical rigor
• Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.
• Excellent communication skills
• Strong skills in translating business problems into data problems
• Strong data visualization skills
• Strong knowledge of Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Regularisation, Bagged/Boosted methods), Relational Markov models, Time Series, etc
• Strong knowledge of data management (engineering, data pipelines, workflows)
• Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling

Benefits & Perks - Global Impact, Personal Relevance

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
• Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
• On-site meals, coffee, and snacks, including healthy and vegan options, daily*

*Please note that while our philosophy is the same in every location, benefits may differ per office/country

Diversity, Equity and Inclusion (DEI) at Booking.com

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.

“At Booking.com, 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.”
Paulo Pisano, Chief People Officer

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.

Booking.com 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.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.