Job Description
- Leading the full ML lifecycle from problem formulation and data acquisition to enterprise-scale deployment.
- Collaborating with product managers, engineers, and domain experts to translate business needs into scalable AI solutions that enhance efficiency and safety.
- Designing and implementing advanced models for time series forecasting, natural language processing (NLP) for unstructured data, and agentic AI systems for autonomous decision-making.
- Applying statistical and machine learning techniques (e.g., regression, Bayesian methods, deep learning).
- Developing and optimizing predictive models for use cases such as equipment health monitoring, reservoir modeling, and real-time operational analytics.
- Ensuring model performance, interpretability, and compliance with industry standards and ethical AI practices.
Fuel your passion
To be successful in this role you will:
- Have Master s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines. / Specialization (education and work experience) in data science or machine learning.
- Have 6+ years of data science experience, delivering production-grade solutions.
- Have expertise in time series modeling, NLP, and agentic AI frameworks.
- Have strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Be familiar with oil gas datasets (e.g., drilling, production, SCADA, seismic) and domain-specific challenges.
- Have experience working in product teams, contributing to roadmap planning and feature development.
- Have knowledge of cloud platforms (AWS, Azure, or GCP) and MLOps best practices.
- Preferred to have experience with reinforcement learning, LLM fine-tuning, or multi-agent systems for industrial automation.
- Preferred to have experience with digital oilfield technologies, sensor data analytics, and real-time monitoring systems
Role:
Data ScientistIndustry Type:
Hotels & RestaurantsDepartment:
Data Science & AnalyticsEmployment Type:
Full Time, PermanentRole Category:
Data Science & Machine Learning
EducationUG:
Any GraduatePG:
Any Postgraduate, LLM in Law
Key Skills
DrillingComputer scienceGCPFormulationMachine learningNatural language processingForecastingMonitoringSCADAPython