Data Scientist / Intern / Junior

Aramco Innovations in Moscow are currently looking for a Data Scientist to join our team and work on real-world challenges in petroleum engineering, reservoir modeling, and production optimization

This position offers an opportunity to contribute to oil & gas research and get hands-on experience in development of applications for real-world projects, while working in a collaborative work environment.

Responsibilities:

• Apply machine learning, deep learning, and statistical techniques to optimize decision-making
• Analyze large datasets from oil & gas operations, including drilling, production, and reservoir performance.
• Collaborate closely with domain experts to ensure that AI models align objectives;
• Write clean, maintainable, and efficient code;
• Learn and apply best practices data analysis and preparation for AI models training.

Must-have qualifications:

• Good knowledge of Python including pandas, NumPy, scikit-learn, TensorFlow, or PyTorch;
• Understanding of regression models, tree-based algorithms, and time-series analysis;
• Good knowledge with data visualization tools;

Good-to-have qualifications:

• University degree or upper-year studentship in statistics, data science, mathematics, physics, engineering, or a related field;
• Knowledge of oil & gas operations, production or subsurface data is a plus;

Conditions:

• Registration according to the Labor Code of the Russian Federation;
• Salary is discussed;
• Types of employment (service contract, permanent agreement, full-time, hybrid).
• Office: Moscow, Danilovskaya manufactura (Tulskaya, Nagatinskaya);
• Providing opportunities for professional and advanced training.