Job Requirements
Job benefits
-
Remote work options
Thanks to technology, we no longer have to be physically present at the office to be productive. Joining our company allows you to work anywhere without place-constraint.
-
Free food & beverages
Avoid wasting time and energy to buy food at the restaurant or hawker center by yourself. We'll provide the best food for you and your team. Make better use of your valuable time to rest, bond, and do other things that matter to you.
-
Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
-
Team-building events
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
Skills
Job description for Data Analyst at Golden Bridge Drive Singapore Pte Ltd
- Interprets and analyses data using exploratory mathematic and statistical techniques based on the scientific method.
- Work closely with business stakeholders to drive integration and adoption of analytics insights into new and existing business processes by demonstrating the ability to communicate the business benefits provided by analytics insights.
- Do data mining and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, refine and organize the data.
- Work on problems that run the gamut through Machine Learning / Deep Learning models to developing full-scale production systems.
- Train and predict on business data sets.
- Build and maintain machine learning-based solutions.
- Must be able to communicate in basic Mandarin due to close collaboration with Mandarin speaking counterpart in Taiwan.
- Bachelor’s degree but Master’s degree preferred in Computer Science or Engineering with major in one or more areas such as Applied Mathematics, Statistics, Artificial Intelligence (machine learning or deep leaning), or related fields.
- Minimum 2 years of proven professional experience in relevant discipline.
- Experience in statistical and data mining techniques: GLM/Regression, Ensemble learning, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience in statistical computer languages (Python, R, SAS, etc.) to manipulate data and draw insights from large data sets.
- Experience in MSSQL/MySQL, NoSQL and efficient queries for transforming and cleaning data.
- Experience in visualization tools like Tableau, Power BI to take advantage of the growing volume of available information.
- In-depth Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- In-depth Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Experience in Azure/AWS/GCP machine learning service and related technologies is a plus.
- Familiar with Agile Methodology.