Responsibilities

  • Provide relevant subject matter expertise across AI/ML/Deep Learning domains in the form of algorithm analysis, model building, training and evaluation, and systems best practices for data products
  • Create AI applications that support our security operations, such as Facial Recognition, Video/Image Analytics, Natural Language Processing (chatbot), Graph Analysis
  • Keep abreast of the latest trends and developments in the fields of AI, Data Analytics and Big Data; to evaluate potential technology solutions and incorporate those into our Data Platform whenever feasible
  • Craft compelling data stories to get “buy-in” from stakeholders so that analytics results can be translated into actionable decisions
  • Conduct ML and Data Analytics workshops for non-technical staff within the organization as part of the team’s effort to inculcate a data-driven culture
  • Mentor and guide junior data science teammates to elevate their competencies
  • All other duties assigned by your reporting officer

Requirements

  • Postgraduate degree (Master’s, Ph.D.) with a specialization in Computer Science, Engineering, Mathematics or Statistics
  • At least 2 years of experience in an advanced analytics / AI role in a corporate setting or research field
  • Strong mathematical and statistical foundations
  • Proficient with at least two of the usual suspects of data analytics – Java, Scala, Python, R, MATLAB, Octave, Julia
  • Comfortable operating in the Unix/Linux environment for automating processes with shell scripting
  • Understanding of relational (SQL) and NoSQL databases
  • Familiar with data visualization techniques and tools, e.g. D3.js, Tableau
  • Experience with Big Data technologies such as Hadoop (MapReduce and YARN), Pig, Hive, Spark, Storm, Presto
  • Preferably experienced with data pipelines built atop AWS, e.g. Glue, Kinesis, Lambda, S3, Athena, edshift, Elasticsearch