от компании (организации): Aramco Innovations в городе (населённом пункте): Москва, Россия
в отрасли экономики "Государственная служба, некоммерческие организации" → "НИИ"
с заработной платой: по договоренности
Вакансия № 31032240 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Пятница, 6 сентября 2024 года.
Дата обновления вакансии № 31032240 на сайте Работа в Москве и Московской области (МО, Подмосковье): Пятница, 20 сентября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 31032240 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
Требования к опыту работы:
более 6 лет
Тип занятости:
полная занятость
График работы:
полный день
Дополнительные сведения о вакансии: Data Scientist in Geoscience (Аналитик данных - Геология)
Aramco Research Center – Moscow is offering great job opportunities for R&D data scientists specialized in Artificial Intelligence and Machine Learning focused on geology and geoscience domains. The position does not separate the roles of research scientist and data scientist and requires to be very flexible and innovative to think and work outside the box. It will focus on translating frontier data analytics and machine learning techniques to R&D ideas and prototypes to be further deployed to industrial applications. This will also require from the candidate to be able to grasp end to end industrial data processing and analytics implementation for successful technology development to tackle business problems.
Key functions and responsibilities:
- Develop and enhance AI-based models for the analysis of seismic and well log data, leveraging Python and cutting-edge machine learning techniques to derive actionable insights for geoscience applications.
- Engage in innovative research to deploy the latest machine learning algorithms for the integrated interpretation of seismic and well log data, aiming to enhance subsurface imaging and characterization accuracy.
- Manage and preprocess complex datasets, including seismic and well log data, employing advanced techniques for data cleaning, feature extraction, and model training to prepare the data for in-depth analysis and predictive modeling.
- Work closely with geoscience experts to establish project goals and model specifications, ensuring that AI models are effectively integrated with geological insights and exploration objectives.
- Present findings and model interpretations through comprehensive reports and presentations, translating complex AI analyses into actionable geoscience insights.
- Document all aspects of the modeling process meticulously, upholding the highest standards of reproducibility and transparency in AI development and application within the geoscience domain.
Key technical skills and competencies:
- Advanced degree (MSc or PhD) in Computer Science, Geophysics, Applied Mathematics, or a related field, with a focus on machine learning, AI, seismic data processing, and well log analysis.
- More than 6 years relevant work experience.
- Proven experience in building machine learning models using Python, with expertise in AI libraries such as TensorFlow, PyTorch, and Scikit-learn, tailored for the analysis of seismic and well log data.
- Strong programming and data analysis skills in Python, including experience with libraries and tools specific to seismic and well log data processing for efficient data manipulation and visualization.
- Familiarity with Linux, git, and GitLab CI/CD for version control and collaborative software development, along with experience in handling large seismic and well log datasets.
- Excellent English communication skills for effective documentation, detailed analytical reporting, and presenting complex technical information to geoscience professionals (is important for communications with head office and business trips) - Upper-Intermediate+.
- Desirable additional skills (as a plus):
- Familiarity with geoscience and petroleum engineering domains, especially drilling.
- Experience in scientific research, including publishing papers, filing patents, and presenting at conferences.
Conditions:
- Registration according to the Labor Code of the Russian Federation.
- Salary is discussed.
- Voluntary Health Insurance (VHI), payment for food and mobile.
- Comfortable office in the Danilovskaya manufactory (Tulskaya, Nagatinskaya)
- Providing opportunities for professional and advanced training.
Откликнуться на эту вакансию: Data Scientist in Geoscience (Аналитик данных - Геология)
Предыдущая вакансия:
Вакансия № 31032238 на должность Монтажник-слаботочник в центре Москвы от компании ООО HRP в городе (населенном пункте) Москва