Senior Data Scientist Senior Data Scientist …

Experian
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 19 Aug 19
Competitive
Experian
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 19 Aug 19
Competitive
Senior Data Scientist
Description
This role is for SEA marketplaces business to support advanced analytics especially in the field of predictive modelling, optimization and coming up with relevant use-cases from the marketplaces data ecosystem.
K ey Responsibilities
  • Problem solver with curious mindset with a high execution bias having relevant work experience in Data Science in retail domain.
  • Data scientist with hands on expertise in building and executing analytics modules on various technology platforms including big data technology platforms.
  • Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.
  • Own and complete work streams from business levers, domain know-hows and bias for execution and delivery.
  • Be able to compile results from various work streams and be able to make coherent presentations to internal and external stakeholders.
  • Experience in building or managing data products, high performer and problem solver.
  • Applying best practices to manage solution implementations including code design and reviews
Experience

• MS or PhD in Computer Science, Engineering, Mathematics, Statistics or a related field with solid exposure to Machine Learning and/or Advanced Analytics with 5+ years of experience in predictive analytics and exposure to big data analytics. MBAs with relevant data science skills will also be considered.
• Strong understanding of the financial domain. Desired domain expertise in credit Risk, telecom analytics, retail analytics. Candidates from Fin-techs preferable.
• 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
• Demonstrated the use of data optimization (Linear/Non-linear) to solve constrained business problems
• Comfortable with working on Unix, Windows and databases like Elastic Search and MongoDB


Must have experience

• 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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