Data Scientist Digital oilfield systems
Confidential Company
Employer Active
Posted 1 hrs ago
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Experience
10 - 16 Years
Education
Master of Technology/Engineering(Chemical, Petroleum), Master of Science(Computers, Statistics)
Nationality
Any Nationality
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
We are looking for a hands on Data Scientist to lead the development of machine learning models and data driven insights for Digital Oilfield DOF systems This role requires a strong foundation in data science and statistical modeling with the ability to transform noisy real-world oilfield data into actionable intelligence for engineering teams
Candidate will work alongside production engineers software developers and ML engineers to design validate and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations Oil & gas experience is a strong asset but not mandatory the ideal candidate brings analytical rigor and problem solving expertise to solve complex field
Desired Candidate Profile
Analyze diverse operational datasets time series tabular sensor logs etc to extract insights and guide model development
Build and evaluate ML models for forecasting anomaly detection pattern recognition and classification
Work with engineers to define KPIs and convert domain specific questions into quantifiable modeling tasks
Design meaningful visualizations and dashboards to communicate model outputs clearly
·Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance
·Strong statistical background and data science expertise with real world datasets
Proficient in Python NumPy pandas scikit learn XGBoost SQL fluency and data wrangling skills
Experience working with large messy or multivariate time series data
Ability to communicate complex model behavior to engineers and stakeholders
Comfortable working in cross functional teams with domain and technical experts
Oilfield data exposure well data reservoir simulations production logs or interest in industrial applications
Familiarity with DOF systems or production optimization frameworks
Exposure to LLMs NLP techniques or agent based AI for enhancing technical workflows
Cloud familiarity Azure preferred knowledge of ML platforms Azure ML Databricks
Azure Data Scientist Associate or Microsoft AI Fundamentals certification is a plus
AWS cloud knowledge is welcome but not required
Employment Type
- Full Time
Company Industry
- Oil & Gas
- Petroleum
Department / Functional Area
- Engineering
Keywords
- Data Science Specialist
- Data Science Consultant
- Data Insights Manager
- SQL
- AI Engineer
- Big Data
- Senior Data Analyst
- Machine Learning
- Data Solutions Architect
- Predictive Maintenance
- Lead Data Scientist
- Data Analytics Lead
- Analytics Architect
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Confidential Company