Data Scientist II - Partner Performance

Booking.com

  • Shanghai
  • Permanent
  • Full-time
  • 2 months ago
Role 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:
  • This position requires a strong focus on data engineering. Design, build, and maintain data pipelines and workflows that extract, transform, and load (ETL) data from various and complex sources. Ensure high data quality and accessibility for downstream teams.
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:
  • Strong experience in data engineering concepts: ETL, data warehousing, data modeling, and data quality management
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.: Global Impact, Personal RelevanceBooking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , 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 leaveHybrid 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 vouchersFree access to online learning platforms, development and mentorship programsGlobal Employee Assistance Program, free Headspace membershipInclusion at Booking.com:Diversity, Equity & Inclusion have been a core part of our company culture since day one. This 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:The general recruitment process may entail: a phone discussion with the recruiter and business interviewsBooking.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.

Booking.com

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