The purpose of this Data Scientist is to provide complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure.
Postgraduate degree in a quantitative discipline e.g. Mathematics, Statistics, Engineering, Computer Science, Actuarial Science, Data Mining, or related technical field) Master of Science in Information Systems or Relevant Qualification.
Support large projects, and manage smaller projects in their entirety
Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.
Identify, define and translate business needs/problems into analytical questions.
Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.
Assist with the development of scalable, efficient, and automated processes for large-scale data analyses and model development, validation, and implementation.
2 years of experience in Analytics using R, Python, MATLAB, Spark, Big Data, and Hadoop ecosystem tools
Strong experience in Data Warehousing and ETL using Informatica Power Center
Very good experience in analyzing the data and reporting it using data visualization tools such as Tableau, Cognos, MicroStrategy