Data Scientist
Brazil, Rio De Janeiro
Operations (Engineers, Geoscience, Specialists, Operators)
Mission
The Data Scientist will develop and deploy data science solutions that address real-world geoscientific, reservoir engineering, and production analysis challenges. You'll work at the intersection of domain expertise and advanced analytics, collaborating closely with geologists, geophysicists, petrophysicists, and petroleum engineers to translate complex subsurface problems into robust, actionable models and workflows.
Responsibilities
- Develop and deploy data science solutions to support geoscientific, reservoir engineering, and production analysis challenges.
- Design and maintain predictive models, exploratory analysis dashboards, and interactive workflows using SLB tools.
- Collaborate closely with geologists, geophysicists, petrophysicists, and reservoir/production engineers to translate domain problems into robust data science solutions.
- Deliver training sessions and technical workshops, both internally and for clients, focused on data science tools and upstream workflows.
- Provide technical support and expertise on SLB platforms and software integrations.
- Assist with data quality, data preparation, and data governance efforts, ensuring compliance with industry standards.
- Support business development and pre-sales activities, contributing to solution design and technical proposals.
Essential Requirements
- Bachelor's or master's degree in Petroleum Engineering, Geophysics, Geology, or related Geoscience/Engineering fields.
- Strong foundation in Statistics and Mathematics.
- Minimum 5 years of experience in the oil and gas industry, preferably supporting data-driven workflows or digital transformation projects.
- Solid experience with Python.
- Practical knowledge of key libraries and frameworks: Pandas, NumPy (data handling), Scikit-learn, TensorFlow, or PyTorch (machine learning), and Matplotlib, Seaborn, Plotly, or Dash (visualization).
- Experience with time series forecasting for production and performance data.
- Proficiency in English (written and spoken).
- Strong analytical thinking, clear communication skills, and ability to work independently and within multidisciplinary teams.
- Advanced English, Fluent Portuguese
- Proved residence in Brazil
Strongly Preferred
- Experience with NLP, Deep Learning, Neural Networks, Transformers, or Generative AI.
- Familiarity with Petrel, Techlog, Pipesim, Olga or similar SLB E&P domain tools.
- Knowledge of industry data standards such as OSDU, PPDM, and Energistics.
Benefits
International Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Insurance
Health, vision, and dental insurance for you and your dependents available from day one.
Learning Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Diverse and Inclusive
Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.
About Us
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.
Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.
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