Security Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

You will be working with a team of security data scientists focusing on applying machine learning to catch bad guys. You are someone who is passionate about Cybersecurity. You will use exploratory data analysis (EDA) and visualization techniques to understand our data. You will find patterns and anomalies to derive security insights and uncover suspicious activities in our networks. You will build models to detect and prevent malicious behaviors and actions.

You will work alongside with our security teams to understand how we analyze attacks and gather ground-truth data for our models. You will participate in threat hunting programs to look for threats that evade our existing security solutions using analytical-driven techniques and develop your findings into security detections. You will also correlate information received from both internal and external sources to provide contextual intelligence to enhance our ability to protect UKG and our customers.”

Primary Responsibilities:

• Drive innovation by proposing new ideas for projects
• Interact with stakeholders to develop new procedures / solutions for increased productivity
• Develop both machine learning and non-machine learning based solutions to increase analysts productivity
• Develop solutions to efficiently capture metrics showcasing operational effectiveness and trends
• Build models to detect and prevent malicious behavior and activities for both our internal corporate security as well as SaaS environments (Cyber Analytics, Fraud Analytics)

Qualifications / Requirements:

• Passionate to learn and share knowledge with the team
• Degree in Data science or Computer Science or a related discipline
• Good understanding of computer security, operating systems, and distributed systems
• Hands-on experience with Python, NumPy, pandas, scikit-learn, TensorFlow/PyTorch/Keras
• Hands-on experience with developing large-scale supervised and unsupervised machine learning models
• Hands-on experience with developing CNN, and RNN/LSTM models in TensorFlow/PyTorch/Keras
• Hands-on experience in performing large-scale data wrangling in a reproducible manner
• Hands-on Linux command-line and administration experience
• Meticulous reporting skills
• Ability to work independently as well as in a team
• At this time we are only considering local candidates, Currently residing in Singapore