Data Scientist (AI & Machine Learning)
Summary
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
We are seeking an experienced Data Scientist with a strong background in AI and machine learning to join our dynamic team. The ideal candidate will possess excellent analytical skills, a passion for data-driven solutions, and the ability to translate complex data into actionable insights.
We're Hiring: Data Scientist (AI & Machine Learning)
We are seeking an experienced Data Scientist with a strong background in AI and machine learning to join our dynamic team. The ideal candidate will possess excellent analytical skills, a passion for data-driven solutions, and the ability to translate complex data into actionable insights.
Location: Singapore, Singapore
Work Mode: Work from Office
Role: Data Scientist (AI & Machine Learning)
Key Responsibilities
- Lead the end-to-end lifecycle of AI and Machine Learning projects, from business problem definition to model deployment and monitoring.
- Develop ML, AI, and optimisation models for forecasting, resource optimisation, reliability improvement, and operational efficiency.
- Collaborate with Data Engineers and Software Engineers to deploy AI/ML models in cloud and air-gapped production environments.
- Drive experimentation using AI techniques such as time-series forecasting, anomaly detection, Computer Vision, and Natural Language Processing (NLP).
- Present data-driven insights and recommendations to business stakeholders.
- Partner with Business Analysts and users to identify and evaluate high-impact AI use cases.
- Manage AI projects and maintain AI infrastructure.
Requirements
- Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Data Analytics, Applied Mathematics, or a related field.
- Minimum 8 years of Data Science experience, including 2+ years in a lead or senior technical role.
- Strong proficiency in Python, SQL, Apache NiFi, Apache Airflow, and ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
- Experience with Databricks, Snowflake, AWS SageMaker, and MLOps practices.
- Hands-on experience with Power BI, Qlik, or Tableau for data visualisation.
- Strong analytical, problem-solving, and stakeholder communication skills.