Job Description

Job Brief:

Do you have 10+ years

of proven, real-world experience transforming noisy, high-volume operational data into

actionable machine learning models

? Are you the bridge between raw data, deep statistical insights, and engineering decisions?

If you are the Data Scientist

who can define, build, and evaluate ML models for

forecasting, anomaly detection, and classification

in a digital oilfield context...

If you are the driver

who can collaborate to set

quantifiable modeling tasks

and design compelling

data visualizations

that lead to operational improvements...

Then we need your expertise

to create the intelligence layer that powers our client

digital systems.

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?