**Job Brief:** Are you experienced in applying advanced analytics, AI, and sophisticated data modeling to transform complex data from digital oilfield operations? Do you have a decade of expertise turning raw oil \& gas data into actionable insights for smarter, more productive operations? Then you are the one we are looking for! **Key Responsibilities:** * Build predictive and prescriptive models for drilling, reservoir, and production data. * Perform data mining, statistical analysis, and ML modeling for complex energy datasets. * Collaborate with engineers to design data\-driven optimization frameworks. * Integrate AI models with SCADA, IoT, and real\-time oilfield systems. * Develop visual analytics dashboards and automated data pipelines. * Apply deep learning techniques to sensor and time\-series data. * Present technical findings to stakeholders for strategic decision\-making. **Required Qualification / Experience / Skills:** * Bachelor’s or Master’s degree in Data Science, Petroleum Engineering, or related field. * 10\+ years of experience as a Data Scientist in oil \& gas, industrial, or energy domains. * Expertise in Python, R, SQL, and ML frameworks (TensorFlow, Scikit\-learn, PyTorch). * Proficiency in handling structured/unstructured data and big data platforms (Spark, Hadoop). * Strong background in statistics, predictive modeling, and data visualization tools (Power BI, Tableau). * Understanding of production optimization, drilling analytics, and asset management. * Excellent communication and cross\-functional teamwork skills. **Job Location: Remote** **Type of Employment: Permanent / Full time** **Salary: Negotiable (based on experience)** **What you can expect from the employer:** * Competitive salary package. * Work on digital transformation projects within the energy sector. * Remote flexibility and collaborative culture. * Opportunities to lead high\-impact analytics initiatives. Job Types: Full\-time, Permanent Application Question(s): * Do you have 10 years of experience in data science and analytics? * Have you worked on digital oilfield or energy analytics projects? * Are you proficient in ML, statistical modeling, and big data tools? * Can you build and deploy predictive models for real\-time industrial data?