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Job Title: Senior Data Scientist/ Data & Transformation/Tech and Operat

Company: Multinational Banking and Financial Services

Corporate Title: Flexible Salary Range: Generous Package
Location: Singapore Date Open: Oct 2018

Responsibilities / Duties:


  • Drive enterprise strategy on testing and production deployment of machine learning and AI products 
  • Drive the discussion between data science and IT on the architecture and solution design to ensure production and deployment is fully considered
  • Drive the testing and deployment of the machine learning products into production
  • Lead the requirement gathering and release road map for analytic platform features
  • Develop enterprise standards and practice on testing and production deployment of machine learning and AI products
  • Drive the adoption of software development practice in data science teams, such as agile development, software development life cycle (SDLC), continues improvement and continues deployment (CI/CD) and testing strategy

Requirements / Qualifications:


  • Solid track record of deploying machine learning solution into production environment and integrate into operation 
  • Expert in identifying and solving issues when putting model into production – load balancing, distribution, through-put, latency, availability, stability, refactoring, repackaging, versioning, scoring, real time / online scoring, performance monitoring and management, 
  • Expert on the open source stack of bid data and machine learning solutions such as Hadoop, Spark, YARN, Mesos, Hive, Impala, Spark Streaming, Kafka, API, Anaconda / R studio server, Kubernetes, 
  • Familiar with development, deployment, production and operation life cycle of the machine learning product and software best practices such as SDLC, CICD, Test-Driven Development (TDD)
  • Excellent problem-solving skills and strategic thinker
  • Proficiency in Python, R, Spark, Java and Scala
  • Good interpersonal skill and able to influence the decision making of data science and IT team
  • Solid written and communication skills.