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Data Scientist
Data Scientist
M-DAQ Global is seeking a Data Scientist to join their team in Singapore. This role involves building, deploying, and scaling data science solutions for M-DAQ products, including time series prediction, optimization, credit scoring, and fraud detection. The Data Scientist will also be responsible for model tuning, production deployment, performance monitoring, and identifying new opportunities for monetizing data science solutions.
About the role
About M-DAQ Pte. Ltd.
M-DAQ builds over-the-top (OTT) applications to facilitate cross-border business for various industries. These include securities markets, e-Commerce platforms and payment solutions providers. M-DAQ achieves this through our proprietary technology, together with the remittance license awarded by the Monetary Authority of Singapore. M-DAQ was awarded “Best Tech Company To Work For 2019” by Singapore Computer Society (SCS).
M-DAQ is a high-growth FinTech start-up that focuses on proprietary best-in-class corporate FX solutions across Asia. We have to date processed over $10 billion in FX transactions and generated hundreds of millions of dollars in revenue for our partners and savings for their end-customers. Having recently concluded our Series D financing round, we have exciting plans to leverage our FX expertise in even more verticals.
Why Us?
- Have a positive impact to the world’s economy by creating a World without Currency BordersTM
- Team Innovation Mindset, People-Oriented
- Challenging environment, offering great opportunities to learn and grow
- Creative and Innovative Workplace
Key Responsibilities
- Work with data engineers and product managers to build, deploy and scale data science solutions on M-DAQ products, such as time series prediction, optimization, credit scoring, fraud detection, etc.
- Work on model tuning and bringing model to production. Monitor the performance, improve, and refine accordingly.
- Work with product managers and business team to identify new opportunities in monetizing data science solutions.
Desired Skill Set and Attributes
- Degree in Computer Science, Electrical/Computer Engineering, Mathematics/Statistics, or related technical disciplines.
- 1 - 4 years working experience in data science and data analytics or relevant field.
- Proficient in one or more of the following programming languages: Python, R, C++, Java, Scala.
- Strong working knowledge of machine learning principles including time series prediction, Natural language processing, classification, clustering.
- Experience in ETL, feature engineering, hyperparameter tuning and model selection
- Experience in bringing models from development to production in AWS or GCP
- Experience in Deep Learning framework such as pyTorch, Keras is a plus
- Experience in credit scoring is a plus
- Ability to recognize business needs and communicate with multiple stakeholders