jobs in IDC TECHNOLOGIES (SINGAPORE) PTE. LTD.

IDC TECHNOLOGIES (SINGAPORE) PTE. LTD. Hiring! Full Time Senior Data Scientist in Central Region (Singapore), Earn up to SGD 10,000 - Ricebowl

Senior Data Scientist

IDC TECHNOLOGIES (SINGAPORE) PTE. LTD.

SGD10,000 - SGD10,000 Per Month

Central Region (Singapore)

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Working Location

  • 143 CECIL STREET Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Duties & Responsibilities:

  1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
  2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
  3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
  4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
  5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

  1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
  2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
  3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
  4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
  5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
  6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

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