Data Scientist

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Revenue Management
Salary Description:
Wyndham Worldwide
Job Ref:

Data Scientist
20 Oct 2016

Join our family of talented individuals from around the world who work together to send people on the vacations of their dreams!

As the world's largest provider of professionally managed, unique vacation accommodations, Wyndham Destination Network comprises more than 110,000 properties in over 100 countries - from houseboats and cottages to rental homes and timeshare resorts. Our portfolio consists of a collection of renowned brands including RCI®, The Registry Collection®, Wyndham Vacation Rentals, Hoseasons, Landal GreenParks, Novasol, and James Villa Holidays. Last year, Wyndham Destination Network sent more than 10 million people on dream vacations.

Explore the many opportunities available at Wyndham Destination Network to further your career and become part of a company ranked as a great place to work!

The Data Scientist role provides a great opportunity for a creative and motivated individual who is passionate about using data and technology to drive meaningful results in an environment that encourages learning. You will be part of an award winning team with lots of experience developing large scale applications of advanced analytics.

- Develop a sound understanding of the WDN business model, data and systems; particular focus will be on developing a solid understanding of the principles of pricing, customer acquisition, customer retention and inventory distribution.
- Provide support for existing analytical processes and meet stakeholders' service expectations.
- Work on ad-hoc analysis and handle data requests from business stakeholders.
- Maintain and enhance existing forecasting, regression and classification models; enhance existing models and develop new ones using machine learning techniques.
- Design and develop new algorithms to support strategic decision making in areas like inventory distribution, customer acquisition, customer retention and pricing.


- Graduate degree (Master's or PhD) in a quantitatively oriented subject such as Mathematics, Operations Research, Economics, Engineering etc. required
- Experience building time series forecasting models, gained either in an academic or industry setting, required
- Familiarity with optimization theory (obtained though graduate level coursework) required
- Familiarity with applications of machine learning techniques desired
- SAS and Object oriented programming (C++ or Java preferred) skills required
- Experience using optimization software required; Xpress-MP (Dash optimization) skills highly desired
- Experience querying and building databases required; Familiarity with SQL and Oracle desired
- Intellectual curiosity and willingness to explore and learn new technologies
- Strong quantitative and communication skills required; Must possess a pragmatic approach to solving problems
- Experience with Hadoop or Spark data processing stack (Hive, Pig, Spark SQL etc.) desired
- Experience with UNIX and writing shell scripts desired

Contact Details:
Wyndham Worldwide
Tel: .
Contact: HR Department

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