- Familiarize with Ensign’s business domain and objectives to implement cyber security analytics solutions that meet internal business requirements and the needs of industry partners and customers
- Develop, evaluate, tune, deploy, maintain and document production-grade data analytics models that provide cyber security insights
- Work on large volume of raw, structured and unstructured data from internet traffic, logs and other forms of data sources using Apache Spark, MPP DB, NoSQL, Hadoop, Scala, Python, R, Tableau etc on daily basis
- Knowledge of cloud (AWS, Azure, GCP) and ability to develop and deploy models that leverage on cloud resources using appropriate cloud architecture
- Evaluate potential solutions relating to data analytics and make recommendations to solve business problems
- Liaise and work with in-house threat analysts, threat researchers, malware analysts, developers, data engineers, big data architects, visualization engineers and project managers to better understand the requirements of developing, deploying and productizing data science models
- Ensure the analytics models are running in optimal condition and perform trouble-shooting when the models are having issue
- Advocate and ensure security best practices
- Manage technical data science projects and improve workflow and processes periodically
- Coach and review the work of junior data scientists and participate in technical interviews of potential new hires
- Able to manage and resolve complex technical problems with minimal supervision
- Participate and provide technical leadership in the scoping of customer projects
- Plan and lead the delivery of projects and front customer related technical discussion
- Actively engage various stakeholders and Business Units to solicit used cases and lead the end-to-end delivery of solutions to meet the needs of identified used cases
- Lead the exploration and application of SOTA data science techniques/algorithms to address challenging problems in the cyber domain
- Champion Research and Innovation within and across various teams and generate Intellectual Property (IP) that will uplift the reputation of Ensign
Requirements
- Minimum Degree in Statistics, Data Science, Mathematics, Computer Science, Engineering or any other related quantitative field
- Minimum 5 years of experience working in a data science position, preferably in the cyber security industry and has worked with security logs/network data
- Experience and expertise in probability and statistical modelling, inclusive of machine learning, experimental design, evaluation and optimization
- Proficiency in Scala, Python, R, Java, Spark and SQL, among others
- Ability to perform rapid prototyping and proof of concept using visualization and dashboarding tools such as Tableau
- Experience in implementing projects using machine learning and deep learning frameworks using tools such as TensorFlow, Keras, Caffe, MxNet, Spark, Hadoop, R, pandas
- Solid technical background with hands-on experience in conceptualizing, designing, implementing and deploying statistical or machine learning models in the big data environment (e.g. Hadoop)
- Excellent client-facing and internal communication skills
- Solid organizational skills including attention to detail and multi-tasking
- Team-player, result-oriented, proactive, self-driven, requiring minimal supervision
- Creative problem-solving skills, highly organized, with ability to handle multiple simultaneous tasks, prioritize and meet tight deadlines
Desired Skills and Experience
Data analyses, business requirement, Objective, Cyber Security, Production, Spark, insight, Analytics, Python, Data