About the Role
The Senior Data Scientist is responsible for designing, developing, and deploying advanced Machine Learning (ML) solutions for industrial applications such as reliability solutions, predictive maintenance, and operational/production optimization. The role focuses on building scalable, production-grade ML models that deliver measurable business value within complex Oil and Gas environments.
This position requires strong domain expertise in Oil & Gas or Manufacturing industries, with a deep understanding of operational processes, asset performance, and industrial data ecosystems. The candidate will collaborate closely with engineers, subject matter experts, and business stakeholders to explore, validate, interpret, and operationalize data-driven solutions. The role demands both independent project leadership and effective cross-functional teamwork.
Design, develop, and deploy Machine Learning algorithms for industrial use cases such as reliability monitoring and predictive maintenance.
Develop supervised and unsupervised learning models including regression and classification techniques
Key Responsibilities
- Apply strong mathematical principles (linear algebra, calculus, probability, statistics) to model development and optimization.
- Develop scalable ML solutions using distributed computing frameworks (e.g., MapReduce, streaming technologies).
- Leverage domain expertise in Oil & Gas or Manufacturing to design context-aware predictive and prescriptive models
- Collaborate with data engineers and subject matter experts to identify, validate, and interpret new data elements
How to Apply
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