南京招聘

Description

You may be a great fit for our team if you are excited about working on high impact, real world problems using big (sometimes slightly messy) data sets, including billions of transactions, to unlock valuable insights and power new products

Responsibilities:
- Frame and conduct complex analyses and experiments using tremendously large (e.g. 10^6 to 10^8 records), complex (not always well-structured, highly variable) data sets
- Answer product questions by using appropriate statistical techniques on available data
- Analyze and interpret the results of product experiments
- Design and implement scripts, programs, databases, and other data products
- Draw conclusions and effectively communicate findings with both technical and non-technical team members
- Review relevant academic and industry research to identify useful algorithms, techniques, libraries, etc.
- Share your knowledge by communicating your findings through sensible presentation and accessible language and mentor staff on relevant procedures and techniques
- Work closely with business teams to identify and answer important product questions;
- Develop best practices for instrumentation and experimentation and communicate those to data engineering teams
- Provide technical thought leadership and manage teams of data engineers

Qualifications
Basic Qualifications:
- Bachelors Degree in Math, Statistics, Computer Science, or other quantitative discipline
- 2+ years experience in R, SAS, Python, Java or other languages appropriate for large scale analysis of numerical and textual data
- 3+ years experience with data mining, machine learning, statistical modeling tools and underlying algorithms
- 5+ years experience with relational databases and SQL
- 3+ years experience working with extremely large data sets

Preferred Qualifications:
- Experience with Hadoop or similar distributed computing and storage platforms
- Ability to work independently in a fast paced, unstructured environment
- Graduate degree in Math, Statistics, Computer Science, or other quantitative discipline
- Extremely strong analytical and problem-solving skills
- Proficiency with Unix/Linux environments is plus
- 1+ year experience working with team management

Trip.com Group Limited (Nasdaq: TCOM) is a leading one-stop travel service provider consisting of Trip.com, Ctrip, Skyscanner, and Qunar. Across its platforms, Trip.com Group enables local partners and travelers around the world to make informed and cost-effective bookings for travel products and services, through aggregation of comprehensive travel-related information and resources, and an advanced transaction platform consisting of mobile apps, Internet websites, and 24/7 customer service centers. Founded in 1999 and listed on Nasdaq in 2003, Trip.com Group has become one of the largest travel companies in the world in terms of gross merchandise value.
携程集团（纳斯达克股票代码：TCOM）是一家领先的在线旅游服务提供商，旗下品牌包括Tirp.com，携程，天巡和去哪儿。携程集团能够整合复杂的旅游相关信息并通过其先进的移动端app，网站以及24小时无间断的免费客户服务中心提供旅游产品预订和服务，帮助商务和休闲游用户获取信息，降低成本。携程集团自1999年成立、2003年纳斯达克上市以来发展迅速，已经成为全球***的旅游服务提供商之一。