Data Scientist

Headquartered in Singapore and with more than three decades of experience, we have a deep understanding of the way agencies work, interact and deliver services. TradeNet®, eJudiciary, eStamping and CertOfOrigin are some of our world’s first innovations being used every day by government agencies worldwide.

Our solutions span across the globe - Bahrain, Canada, Chile, China, Ghana, India, Madagascar, Mauritius, Mozambique, Panama, Saudi Arabia, Singapore, Trinidad & Tobago, the United Arab Emirates, and many other countries.

At CrimsonLogic, we recognise that people are our assets. We encourage personal growth in the company by creating opportunities for our people. We provide platforms for our people to share their creative ideas and solutions. We also emphasize a culture of learning across the company. Our Open-Door Policy provides a channel for open discussions between our senior management team and our people. Through such discussions, we can be better aligned in our strategic goals for each project.

As a home-grown brand, we pride ourselves in flying the Singapore flag high when we deliver impactful world-class eGovernment solutions. We dare to be different, so that we can MAKE A DIFFERENCE!

Job Purpose

In the exciting new challenges ahead in the pursuit of a world-class digital government transformation, we are looking for a Data Scientist to work with the product managers/directors to propose & implement the data analytics, ML & AI use cases in the products.

Key Accountabilities

You will be accountable for the data analytics, ML & AI part of the product.

Role & Responsibilities:

• Collaborate with product manager, presales & other users to analyse requirements

• Lead analysis, design, and development & maintenance of AI & ML models, algorithms in the modules used within the product.

• Design develop & maintain the data processing and ingestion routines required for the AI/ML engine.

• Analyse source data and data flows, working with structured and unstructured data

• Collect requirement and assist product manager & architect with solution architecture.

• Assist in the gap analysis with customers, system integration testing, user acceptance testing, & implementation of projects where AI/ML is being used.

• Collaborate in the creation/enhancement of data platform solutions (Data Marts, Cubes) to facilitate decision making

• Assist to explore new technologies, alternatives, new models etc when needed.

• Guide and mentor others team members in the use of AI/Machine Learning

Minimum Qualification

You shall be either a Bachelor’s Degree in Computer Science, MIS, Computer Engineering, or similar.

Experience required

We are looking for candidates who are strong team players, with great attitude and a passion to succeed in today’s world of technological disruption. You will likely be results focused, a creative problem solver, customer centric and a good communicator.

Accompanying these, we shall be expecting you to have:

• 2-3 years of relevant working experience and overall 5+ years of experience.

• Specialization in: Python programming, R, Data Analytics, Data Processing & Ingestion Techniques. AWS tools & related technologies, 1-2 years of experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, regression, classification, and clustering would be an advantage

• Familiarity with data analytics applications & data modelling

• Demonstrated passion for analytics/AI & ML and the ability to explore and keep updated with current trends.

• Strong aptitude for learning new technologies and analytics techniques

• Good communication skills.

• Self-motivated with high degree of intellectual curiosity and a positive attitude.

• Highly self-motivated and able to work independently as well as in a team environment. Willingness to “do whatever it takes to get the job done”. Preferred Experience

• Strong programming skills in Python • Used Cloud Computing in either Azure or AWS

• 1-2 years of experience with Machine Learning and Artificial Intelligence techniques and tools

• Experience in developing and deploying Web based products/applications

• Knowledge on AI models like Random Forest, Regression, Cluster Analysis