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Data Scientist (Cybersecurity)

Position Type Direct Contract
No. of opening(s) 1
Location Singapore
Posted 20-May-2022
Description
Are you looking to work as a Data Scientist and expand your horizon while working on future-state projects? You will be part of the Cybersecurity arm that uses the data to discover and predict potential cyber incidents and threats before they even happened!
Skill-set Requirement
  • Bachelors or Masters in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Data Science and Analytics;
  • At least 4 years of experience in quantitative data analytics or machine learning model development for cybersecurity using big data platforms;
  • Good hands on experience solving business problems using Data Analysis, Machine Learning, Predictive Modelling and other advanced statistical techniques;
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.);
  • Experienced in using databases and frameworks for big data analytics such as Hadoop/Hive/Spark;
  • Proficient in writing complex SQL queries;
  • 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.

Desirable Skills
  • Good understanding of Artificial Intelligence and Deep Learning concepts;
  • Domain knowledge and experience in Computer Networking/Network Security/System Security.
Job Responsibilities
  • Involved in conceptualizing, architecting and executing projects related to cybersecurity using big data and used cases;
  • Understand the organization needs and strategize data analytics development focus areas;
  • Research and implement new statistical or machine learning models, using mathematical methodologies as needed;
  • Mine and analyze data to drive optimization and improvements/customizations for current data analytics models;
  • Build predictive models to identify trends, develop insights and co-ordinate with teams to implement the models and monitor outcomes;
  • Create processes, tools or best practices in monitoring and analyzing the model performance and accuracy;
  • Work with different functional teams and get their buy-in on the model usages;
  • Liaise with vendors to data analytics stream development;
  • Work closely with senior stakeholders to identify opportunities in using data to improve cybersecurity capabilities;
  • 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.
Domain
Government
Role Compatibility
Architecture, Business Intelligence, Data Warehousing, Database Management, IT Strategy, Security/Audit Operations
Level Compatibility
Architect/Designer, Security Analyst

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Company Details

Sciente International Pte Ltd
Sciente International Pte Ltd

 
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