Director - Analytic - Viki - Singapore

Job description
We are in search of a Director of Analytics, you will be joining a talented, collaborative team at the forefront of exciting new ventures in the digital media space. A successful candidate will have a passion for building highly scalable systems, enjoys working with big data sets and has a proactive and organized approach to solving problems. Essential duties and responsibilities may include, but are not limited to:

Build a comprehensive recommendation system from the ground up (recommending mobile apps, content, etc.)
Build a data / stats-driven ad optimization system, working closely with the product team
Constantly experiment and improve the relevancy of the recommendation/ad optimization system
Invent and improve algorithms given a set of business cases and help implement them in production
Work with the product/engineering team to implement, test and deploy the solution on a Hadoop cluster


Desired Skills and Experience
B.S., M.S. or Ph.D. in Computer Science or similar applied technical field
Must be hands-on Machine-learning related industry projects
Solid object-oriented programming skill and at least one scripting language such as Python, Ruby or Perl
Ability to work in a fast paced, test-driven collaborative and iterative programming environment
Understand major recommendation algorithms (Collaborative Filtering, Matrix factorization, Naive Bayes, Boosting method)
Understand various ad optimization algorithms (CTR prediction, eCPM optimization, user targeting and segmentation, RTB and real-time optimization)
Strong understanding of Algorithms, Data Structures and Machine Learning / Data Mining
Understanding of RDBMS, SQL and NoSQL alternatives
Experience with Hadoop / Hbase / Pig or MapReduce / Mahout / Bigtable is a plus
Previous experience with performance-based ad systems is a plus
Understanding of clustering and classification techniques (Naive Bayes, SVM, NN, Boosting Methods, etc.) is a plus
Practical experience on natural language processing is preferred

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