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192609 Requisition #
Thanks for your interest in the Senior Data Scentist position. Unfortunately this position has been closed but you can search our 501 open jobs by clicking here.
  • MS or PhD in Computer Science, Computer Engineering, Mathematics, Statistics or a related field with solid exposure to Machine Learning and/or Advanced Analytics with 3-8 years of applied experience in predictive analytics and exposure to big data analytics
  • Strong understanding of the financial or risk domain. Desired domain expertise in Credit Risk, Telecom Analytics, Retail analytics
  • Strong coding skills in Python is a must, and in other languages like R and SQL, Hive Sql
  • Hands-on experience with Python libraries - NumPy, Pandas, sklearn
  • Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source data sets using Hive, Hadoop or Spark (PySpark) is a plus.
  • Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB
  • Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are:
  • Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc.
  • Statistical modeling – CHAID, CART, Regressions, SVM, SVD etc.
  • Experience on the text analytics stack – NLP, NLU, LDA, TF-IDF etc.
  • Ability to communicate analytics-based insights to business stakeholders. Independent problem solver comfortable to work in an ambiguous solution space. Strong PPT Skills, Excel 
  • Demonstrated experience in delivering analytics projects in high pressure environments
  • Role based in Singapore with 20% travel in APAC

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