Skip to content

Security Data Scientist

General information

Location:

Singapore - Singapore - Remote

Function:

Security/Privacy & Risk

Ref #:

20210018431

Description & Requirements

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

Corporate overview

Here at UKG, Our Purpose Is People. UKG combines the strength and innovation of Ultimate Software and Kronos, uniting two award-winning, employee-centered cultures. Our employees are an extraordinary group of talented, energetic, and innovative people who care about more than just work. We strive to create a culture of belonging and an employee experience that empowers our people. UKG has more than 13,000 employees around the globe and is known for its inclusive workplace culture. Ready to be inspired? Learn more at www.ukg.com/careers

EEO Statement

Equal Opportunity Employer

Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. 


View The EEO is the Law poster and its supplement. 

View the Pay Transparency Nondiscrimination Provision

UKG participates in E-Verify. View the E-Verify posters here.


Disability Accommodation

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com or please call 1 (978) 250 9800.

Apply