We are SLB
Our story begins with what truly means to be a technology innovator. It stems from a common sense of purpose that unites the people of SLB who, representing more than 160 nationalities, provide leading digital solutions and deploy ground-breaking technologies to enable performance and sustainability that are crucial for the global energy industry.
With expertise in more than 120 countries, we partner with customers in close collaboration to create industry-changing technologies that unlock cleaner, and safer access to energy for every community—including those we live and work in.
We are SLB, and we are leading the energy industry forward—together.
SLB people
We are industry leaders because of our exceptional and talented people. They are the core that drives our purpose and integrity, which fuels our belief that everyone should have the opportunity to reach their greatest potential. Ever evolving and constantly innovating, we transcend every cultural and technological boundary set before us. Indeed, it is our diversity that makes us stronger. Together, we achieve more.
Job Summary:
The IT Data Scientist will be responsible for designing and executing processes related to AI, ML, predictive / analytical modeling, data mining, and research on large scale, complex data sets, using statistical, machine learning, graph modeling, text mining and other modern techniques. This individual is also responsible for collaborating with various teams, and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously. This position will also be involved in the formulation of key business requirements to be solved, rationalizing the various analytical approaches to solve those problems. Finally, this position is involved in helping to develop, analyse and draw conclusions, and presenting the results back to business users.
Key Responsibilities:
- Must know the in and out of the AI/ML algorithm being used and not just the library to call;
- Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements;
- Deliver enterprise level analytics solutions to SLB customers;
- Provide analytics solutions in Big data platform which can scale;
- Design distributed, GPU and parallelized algorithms;
- Architect the data science solutions to complex high dimensional data;
- Deep dive on to theoretical and implementation details and provide the solution fundamentals;
- Support architecture and platform team to optimize their operation;
- Capable to train and gain expertise quickly on new Infrastructure tools and all assigned technologies;
- Engage with the business segments and internal stakeholders to capture requirements;
- Work closely with analysts and business process managers to develop an end-to-end analytics solution;
- Present and Communicate solution design with Business & IT audience;
Essential qualifications:
- Master’s degree in Computer Science, Electrical Engineering, Mathematics and Computing;
- Knowledge of Cloud technologies is an advantage;
- Experience with Python;
- Fluent in English;
- Strong ability to work in a fast-paced environment;
- Strong ability to work both autonomously and in a team;
What we can offer:
The monthly salary range for this role is between 7,866 and 9,833 RON gross. The salary range presented is indicative and the final compensation may vary based on factors such as experience, qualifications and skills. The final compensation package will be determined during the selection process.
• Meal tickets;
• Work from home allowance;
• Bookster - for book lovers;
• We work hybrid, 2 days at the office and 3 days at home;
• Private medical subscription - GOLD package;
• Life insurance;
• A culture that fosters inclusion, diversity, and innovation;
• Market-specific training and ongoing personal development;
• Career growth opportunities both national and international;
• Experienced leaders to support your professional development;
• International work environment;
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.
