Director, Data Science Innovation & Automation

Director, Data Science Innovation & Automation

Kuala Lumpur Malaysia
5-10 years
Not Specified

Job Description

  • Management of Hadoop cluster, with all included services, including resolving any ongoing issues with operating the cluster.
  • Integrating structured and un-structured data streams from multiple sources.
  • Developing streaming processes to enable real time data ingestion and processing.
  • Integrating of latest ML toolkits in Big data infrastructure.
  • Roadmap for both big data and real time applications.
  • Oversee end-to-end campaign management ecosystem both on and off-line.
  • Liaise with GTO and collaborate on joint projects with CIMB Fintech.
  • Contribute to the development of data science capabilities in other ASEAN markets.
  • Mentor and upskill junior data scientists and engineers in the team.
  • Translate analytics/data science projects into tangible business value.
  • Accelerate the process of embedding and automating analytics across the Group.
  • Represents HOD in the Data Governance Forums (CDGC & GDGC).
  • Translate analytics projects into real business value.
  • Experience managing large teams on and off-shore.
  • Strategic acumen and experience transforming companies into data first organizations.
  • Communication of complex concepts to senior stakeholders.
  • All rounder in big data/data science technologies and frameworks.

  • Candidate must have at 5-10 years of hands on experience managing Cloudera based Hadoop cluster.
  • Proficient understanding of distributed computing principles, Hadoop v2, MapReduce, HDFS etc.
  • Experience in Big data scripting languages like java, scala, python and Pig.
  • Demonstrated experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming.
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.
  • Knowledge of various ETL techniques and frameworks, such as ODI, Flume.
  • Experience with various messaging systems, such as Kafka or RabbitMQ.
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks.

Job Details


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