Data Scientist at Booking.com

Jing'an District, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Statistical Analysis, Modeling, Data Visualization, Storytelling, A/B Testing, Experimentation, Hadoop, Spark, SQL, Python, R, Data Management, Schema Design, Data Pipelines, Stakeholder Management

Industry

Software Development

Description

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. Key Job Responsibilities and Duties: Identify key customers and collaborate proactively through effective communication and addressing their needs. Prioritize impactful business problems, translate them into feasible data problems, and solve them effectively by applying suitable statistical data analysis and modeling methods. Identify, source, and prioritize data required for the solution and prepare it in a way that makes it fit for use. Transform large, sophisticated datasets into pragmatic, useable insights. Maintain the data processing workflows that provide clean and curated data in their area. Use data visualization skills and storytelling to drive actions from internal customers. Craft and interpret quantitative experiments to objectively guide key business decision making. Role Qualifications and Requirements: Experience solving real problems using data mining techniques and with statistical rigor, and translating business problems into data problems. Knowledge and practical experience of Statistical Methods (e.g., Testing, Generalized Linear Models (GLM), Inference), Statistical/Machine Learning (e.g., Dimension Reduction, Clustering, Regularisation, Bagged/Boosted methods), and Time Series. Strong experience with A/B Testing and a range of Experimentation methods. Solid understanding of Hadoop, Spark, SQL, Python, and/or R. Solid understanding of data management, including schema design, data pipelines, and workflows. Strong stakeholder management skills and fluent in English and Chinese communication. Benefits & Perks - Global Impact, Personal Relevance: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include: Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country) Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers Free access to online learning platforms, development and mentorship programs Global Employee Assistance Program, free Headspace membership Inclusion at Booking.com: Inclusion has 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 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.” 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 general recruitment process may entail: a phone discussion with the recruiter and business interviews 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.

Responsibilities

The role involves proactively identifying key customer needs and translating impactful business problems into feasible data problems to be solved using statistical analysis and modeling methods. Responsibilities also include preparing necessary data, maintaining data processing workflows, and using data visualization to drive internal customer actions.