Senior Data Scientist

  • Competitive
  • Singapur, Singapore
  • Festanstellung, Vollzeit
  • Experian Singapore
  • 20 Mai 19

Senior Data Scientist

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

• 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