1 September 2020

Are you looking to work as a Data Scientist and expand your horizon while working on future-state projects?
We have an excellent opportunity for you with our esteemed client, to initiate green field Big Data related cybersecurity projects.

Mandatory Skill(s)

  • Bachelors in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Data Science and Analytics ;
  • At least 4 years’ experience in Data Analytics or Machine Learning;
  • Good hands on experience solving business problems using Data Analysis, Machine Learning, Predictive Modelling and other advanced statistical techniques;
  • Experienced in working with large data sets (statistical analysis, data visualization, data mining, data cleansing, data transformation and machine learning);
  • Experienced in using databases and frameworks for big data analytics such as Hadoop/Hive/Spark;
  • Proficient in writing complex SQL queries;
  • Must be familiar with big data streaming and visualization tools such as Apache Nifi, Storm, Spark, Airflow, Kibana, Tableau;
  • Able to apply scientific thinking to solving business problems through analytics and data;
  • Must be willing to get involved with administrative work along with technical, research and development work;
  • Possess excellent written, verbal and presentation skills;
  • Must be a team player.

Desirable Skill(s)

  • Good understanding of Artificial Intelligence and Deep Learning concepts;
  • Domain knowledge and experience in Computer Networking/Network Security/System security.

Responsibilities

  • Involved in conceptualizing, architecting and executing greenfield projects related to Cybersecurity for Telecom Sector using Big Data;
  • Mine and analyze data to drive optimization and improvements/customizations for cybersecurity projects;
  • Build predictive models to identify trends, develop insights and co-ordinate with teams to implement the models and monitor outcomes;
  • Interpret technical statistical results and work towards improving the cybersecurity capabilities of the organization;
  • Monitor advancements in Big Data Technologies and identify new tools to fine tune existing data analytics platform.
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