Data Scientist
Calibrax.ai
full-time
Posted on:
Location Type: Hybrid
Location: Kuala Lumpur • Malaysia
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About the role
- Own end-to-end model development across client engagements, from data exploration and feature engineering through to model deployment and ongoing optimisation
- Work on a variety of high-stakes AI applications, often simultaneously, in environments where rigour and speed both matter
- Communicate clearly with clients, walking them through methodology or explaining model outputs to non-technical stakeholders with equal confidence.
Requirements
- 3+ years of hands-on data science experience, with a strong portfolio of production ML models
- Deep proficiency in Python and the ML stack (scikit-learn, XGBoost, PyTorch, or TensorFlow)
- Experience in at least one of: credit risk / underwriting, fraud detection, NLP, recommendation systems, or computer vision
- Strong grasp of statistical fundamentals, you understand what your model is actually doing
- Experience deploying models in cloud environments (AWS, GCP, or Azure) and with MLOps practices
- Ability to work directly with clients and translate messy real-world data problems into clean modelling approaches
- Experience with LLMs, RAG pipelines, or generative AI applications is a strong advantage.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningPythonscikit-learnXGBoostPyTorchTensorFlowstatistical fundamentalsMLOpsmodel deployment
Soft Skills
communicationclient engagementproblem-solvingmethodology explanationconfidence with non-technical stakeholders