Skills: IT - Analysis & Management
Education: High School/Secondary
Location: Clamart, Île-de-France, France
Come and join Schlumberger's AI Lab in Paris as a new graduate.
We are currently actively hiring bright minds specializing in Data Science and Artificial Intelligence. Be part of the adventure with a multinational company bringing a little bit of the Silicon Valley in Paris. Join a team of young and fun passionate Data Scientists, working in sprints on real business challenges, in tandem with business experts who are sitting at your desk.
The Artificial Intelligence Engineer / Data Scientist helps develop software and processes that can be used for robotics, artificial intelligence programs and application. In close collaboration with the business, the data scientist offers mathematical and statistical models from the collected data to augment, improve or speed up human decisions within the Oil & Gas sector.
With Schlumberger you will be given the opportunity to apply your expertise and deploy Machine learning and deep learning solutions at scale on real-world problems, supporting many areas of Schlumberger's business. You will benefit from a balance of Internal Intellectual Property and Opensource contribution on the different projects and problems tackled. This gives the AI Lab the perfect opportunities to leverage these innovative technologies and resources as you will be able to test, experiment and research with the cutting-edge cloud environment with Petabits and Petabits of data.
Your responsibilities include tight collaboration with the business as part of scrum teams composed of data scientists and business subject matter experts. You will oversee research and delivery of Proof of Concepts solutions, answering clear and specific business needs: short term project management, data preparation, data analysis, model development and exploration in the domain of Artificial Intelligence.
The Artificial Intelligence domain aims to leverage advances in natural language processing, computer vision and machine learning to offer differentiated assets and solutions to Schlumberger R&D and field operation teams.
You are about to complete or have completed a PhD in Computer Science, Computer Engineering or Applied Mathematics & Statistics with Machine Learning and Artificial Intelligence courses.
Key competencies :
Computer Skills (Python, Java, Go, C#/C++, TensorFlow, R, pyTorch, ...)
Experience in one or more of the following disciplines:
- Machine/Deep Learning (algorithms, neural networks, ...)
- Natural Language Processing (detection, classification)
- Computer Vision (object recognition/tracking, OCR/handwriting recognition, ...)
- Speech to Text, Text to Speech
- I vendor platforms: Google, Microsoft Azure, Amazon, IBM, ...
- A strong interest in leading edge technology, and in user experience/usability
- Innovative, creative individual demonstrating high levels of initiative
- Excellent Problem-Solving Skills
- Excellent Mathematical / Statistical Skills
- Excellent written and verbal communication in English
- Good presentation skills
Schlumberger 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.
A tradition of excellence and innovation
We’re the world’s leading provider of integrated pore-to-pipeline technology solutions to the oil and gas industry. We’re also a leading employer in our sector—with a reputation for hiring the best and the brightest people and keeping them at the top of their game through rewarding career-long development opportunities.
Each day, in 85 countries, we help our customers find and produce oil and gas in ways that demonstrate respect for both people and the environment. Today’s industry challenges call for new ideas, techniques, and solutions. If you want to drive your career and want to grow with a company that’s embraced new ways of thinking since 1927, we may have the career for you.
Schlumberger is ranked in the Global Top 10 in Rigzone's 2019 Ideal Employer Rankings.