Data Science Professional

6 days ago

Singapore beBeeMachineLearning Full time $120,000 - $180,000

Job Summary

We are seeking an experienced Data Science and Artificial Intelligence (AI) professional to lead our data-driven initiatives.

As a key member of our team, you will be responsible for bridging advanced technical work with strong governance and risk control. You will help modernize and automate our controls frameworks, apply analytics and machine learning to improve how we govern data, cloud, and AI, and collaborate with multiple teams to deliver high-impact solutions.

  • Brought a risk-aware mindset to all things Data, Cloud, and AI — interpreting policies and frameworks and embedding them in solutions.
  • Designed, developed, and optimized AI/ML models, ensuring accuracy, scalability, and performance.
  • Established best practices for model evaluation, testing, and upgrades, with a focus on responsible and ethical AI.
  • Modernized and automated governance controls by applying advanced analytics and AI/ML techniques.
  • Partnered with data engineers, software developers, and subject matter experts to integrate AI/ML solutions seamlessly.
  • Collaborated with business stakeholders to identify opportunities, define requirements, and clearly communicated risks, benefits, and controls.
  • Delivered end-to-end solutions following SDLC standards — including data integration, application security, and scalable design.

Requirements

To be successful in this role, you will need:

  • A Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a related field.
  • 10+ years of relevant experience in data and analytics roles.
  • Deep expertise in machine learning algorithms, statistical modeling, and deep learning.
  • Hands-on experience building and managing model pipelines for testing, training, and deployment.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
  • Ability to handle complex structured, semi-structured, and unstructured data.
  • Proven ability to evaluate models, apply responsible/ethical AI frameworks, and implement controls to manage AI risk.
  • Excellent collaboration and communication skills — able to work effectively with both technical and non-technical stakeholders.

What We Offer

We offer a dynamic and collaborative work environment, with opportunities for growth and development. If you are a motivated and results-driven professional looking to make a meaningful impact, we encourage you to apply.

Please submit your updated CV for consideration.

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