Data Analyst

Singapore

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Job Responsibilities

Job Summary: Drive data-driven decisions across commercial, operational, and financial domains by discovering insights, validating hypotheses, and building scalable AI/ML solutions. You will lead experiments, develop advanced models, and communicate results effectively to stakeholders. To succeed, you must be a problem solver, a strong communicator, and an analytical thinker who challenges boundaries.

Collaborate with business teams to frame problems, perform root-cause analysis, and recommend scalable AI/ML solutions or design experiments/AB tests.

Translate complex findings into clear narratives, compelling visuals, and executive-ready summaries for both technical and non-technical audiences.

Build and validate AI/ML solutions in one or more specialized areas, such as forecasting, route optimization, computer vision, anomaly detection, and NLP (including emerging agentic AI approaches).

Develop and deploy ML services and APIs on Azure/Databricks, implementing CI/CD, model versioning, and lineage tracking with MLflow, including performance and data drift monitoring.

Partner with application development teams to operationalize and integrate AI/ML solutions into production systems.

Job Requirements

Bachelor’s Degree in Statistics, Applied Math, Economics, Data Science, or related field.

3–5+ years of relevant experience; exposure to Agentic AI is a plus.

Hands on experience with Databricks, Spark, MLflow, Python (Pytorch, Tensorflow); proven ability to build production-grade ML APIs/services.

Demonstrated success in deploying ML/AI use cases at scale.

Experience working in cloud environment such as AWS, Azure, or GCP.

Strong interpersonal skills for collaborating with technical and non-technical teams.

Excellent stakeholder engagement and storytelling.