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TW
Two95 International Inc.

Senior Data Scientist

LocationKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Typefull-time
SenioritySenior
Experience8+ yrs
Company size10,000+ people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have5
Min 8 years DS/advanced analytics delivery, in Oil & Gas/LNG industry
Experience handling multiple inter-dependent mathematical optimisation models with non-linear constraints and/or objectives
Experience in handling complex data science models with 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
Nice to have1
Familiar with cloud-hosted execution on AWS and ALNG runtime stack (Python/Node/PostgreSQL)
Skills
Python
R
AWS
Node.js
PostgreSQL
About the role
JOB DESCRIPTION:
We are looking for Senior Data Scientist with 8+ years of experience.
Responsibilities
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.
Requirements
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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