CyberSecurity Data Scientist at Ensign Services, Inc.

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cyber Security, Python, Spark, Java, Scala, SQL, TensorFlow, Keras, Caffe, MxNet, Hadoop, R, Pandas, Cloud, Kubernetes

Industry

Hospitals and Health Care

Description

Ensign is hiring ! Responsibilities: Model Development: Design, develop, and optimize machine learning solutions tailored to solve specific business problems in the areas of Cyber Security. Collaborate domain experts to understand structured or unstructured data, define features, and build models using tools such as TensorFlow, PyTorch, or Scikit-Learn. Model Deployment: Deploy and maintain production-grade machine learning models in production Ensure the models are running in optimal condition by participating in purple teaming exercises and perform trouble-shooting, finetuning and retraining in situations of model drifts Collaboration and Communication: Work with cybersecurity teams (developers, data engineers, big data architects, visualization engineers and project managers) and stakeholders to integrate Machine Learning models and communicate findings to both technical and non-technical stakeholders. Continuous Improvement: Contribute to the ongoing improvement of cybersecurity strategies by leveraging data science approaches and staying updated on the latest trends. Evaluate potential solutions relating to data analytics and make recommendations to solve business problems. Advocate and ensure security best practices. Requirements: Degree in Statistics, Data Science, Mathematics, Computer Science, Engineering or any other related quantitative field Knowledge in probability and statistical modelling, inclusive of machine learning, experimental design, evaluation and optimization Knowledge in Python, Spark, Java or Scala, and SQL among others Ability to perform rapid prototyping and proof of concept Knowledge in machine learning and deep learning frameworks and tools such as TensorFlow, Keras, Caffe, MxNet, Spark, Hadoop, R, pandas, sklearn Knowledge of cloud (AWS, Azure or GCP) and Kubernetes and ability to develop and deploy containerized models that leverage on cloud resources or on prem. Team-player, result-oriented, proactive, self-driven, requiring minimal supervision Prior knowledge or interest in the Cyber Security domain will be preferred. About Ensign InfoSecurity Ensign InfoSecurity is the largest pure-play cybersecurity service provider in Asia. The company is headquartered in Singapore. We specialise in the provision of these services; cybersecurity advisory and assurance, implementation and management of advanced cybersecurity controls, cybersecurity monitoring, threat hunting, and incident response. Underpinning these competencies is in-house research and development in cybersecurity. What Makes Ensign Special? We are a technology company with warmth and soul. We are ambitious, propelled by our vision to be the cyber defender of choice, and fueled by the dedication and camaraderie of individuals who are eager to make a difference, and leave their footprints in the industry. If you are a self-motivated curious go-getter, we want You! Join Us!

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Responsibilities

The CyberSecurity Data Scientist will design, develop, and optimize machine learning solutions for Cyber Security. They will collaborate with domain experts and cybersecurity teams to deploy and maintain production-grade models while ensuring optimal performance.