Senior Data Scientist
On-site Kuala Lumpur Senior Data Science
At a glance
Senior Data Science role at Two95 International Inc. Kuala Lumpur.
Pay not stated Data Scientist salary
RoleData Science
SenioritySenior
LocationKuala Lumpur
WorkplaceOn-site
PostedMay 25, 2026 · 5mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Lead workshops that bring multiple stakeholders together to clarify complex requirements
- Assess how models are hosted, then define and carry out compute, storage or runtime improvements
- Show performance before and after changes, based on the models’ functional behaviour
- Set validation plans for integrated testing and BRT/UAT readiness, then maintain governance and support records
What you bring
- At least eight years delivering data science or advanced analytics work in Oil & Gas or LNG
- Hands-on delivery of interdependent optimisation models with nonlinear constraints or objectives, using iterative runs and physics-based limits
- Experience handling complex models with operational and technical constraints, and supporting analytics models in production
- Practical modelling and analytics experience with Python and R
Who this fits
This senior role suits someone who has delivered advanced analytics in Oil & Gas or LNG and can work directly on model optimisation, testing readiness and governance evidence. The position is onsite in Kuala Lumpur.
From the employer
JOB DESCRIPTION:
We are looking for Senior Data Scientist with 8+ years of experience.
Responsibilities:
- Lead complex, multi-stakeholder requirements workshops
- Perform model hosting assessment and define optimisation actions (compute, storage, runtime)
- Implement agreed optimisation actions based on functional behaviour; produce before/after performance evidence
- Define validation approach to support integrated testing and BRT/UAT readiness
- Maintain model documentation and evidence artefacts for governance and support.
Skills/Experience:
- Min 8 years DS/advanced analytics delivery, in Oil & Gas/LNG industry
- Hands on delivery experience covering
- Multiple inter‑dependent mathematical optimisation models handling capability
- non‑linear constraints and/or objectives that materially affect feasibility or optimality
- structured iterative cycles, including but not limited to: pre‑feedback optimisation runs, feedback or convergence runs to stabilise outputs and incorporation of physics‑based constraints
- Experience in handling complex data science models, handling soft and hard technical and operational constraints
- Experience supporting advanced analytics models in production environments
- Experience with Python and R -based modelling and analytics environment
Familiar with cloud-hosted execution on AWS and ALNG runtime stack (Python/Node/PostgreSQL)
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