Full Stack Data Scientist (1 Vacancy)

JOB OVERVIEW: -

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. The ideal candidate will be responsible for the end-to-end development of machine learning models, data engineering, and the deployment of AI solutions. This role will play a crucial part in building our AI Assistant and enhancing our business intelligence capabilities.

JOB RESPONSIBILITIES: -

Data Science and Machine Learning:

• Collect, clean, and preprocess data from various sources.
• Develop, train, and deploy machine learning models to solve business problems.
• Utilize statistical analysis and data mining techniques to derive actionable insights.
• Communicate findings to stakeholders through data visualization and presentations.

Data Engineering:

• Collaborate with the full-time data engineer to design and maintain data pipelines.
• Ensure data integrity and quality through robust validation and processing mechanisms.
• Implement data aggregation and enhancement processes to support analytics.

AI and Model Development:

• Contribute to the development of AI products.
• Continuously refine and optimize machine learning models for production use.
• Monitor and maintain deployed models to ensure optimal performance.

JOB REQUIREMENTS: -

• Candidate must possess at least Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• At least 3 year(s) of relevant experience in data science, machine learning, and data engineering.
• Proficiency in programming languages such as Python and SQL. Preferred someone with basic knowledge in coding and programming.
• Experience with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical analysis and data modelling techniques.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and data management systems.
• Knowledge of data engineering best practices and tools (e.g., Apache Spark, Hadoop).
• Excellent problem-solving and analytical skills.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong communication skills, both written and verbal in English. Fluency in Mandarin is a plus.

WORKING LOCATION & WORKING HOUR: -

• The Ascent @ Paradigm Mall
• Monday - Friday (Flexible working hours)

WHAT'S IN IT FOR YOU?

• 13th month salary
• EPF / SOCSO / PCB.
• Medical, Dental and Optical benefits.
• Free-flow snacks and drinks in office pantry.
• Smart casual working attire.
• Full Attendance Allowance.
• Free Parking.
• Young, vibrant and open work culture.

Due to volume of applications, we regret that only shortlisted candidates will be notified.