Senior Data Scientist | Schlumberger

Job Details

Senior Data Scientist

Clamart - France

Job title:

Senior Data Scientist

Location:

Clamart, France

About Schlumberger:

We are Schlumberger, the leading provider of technology and services to the energy industry. Throughout much of the oil and gas lifecycle in over 120 countries; we design, develop, and deliver technology and services that transforms how work is done.

We define the boundaries of the industry by unleashing our talented people’s energy. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it.

Job Description:

The senior Data Scientist will be responsible for guiding the successful delivery of Analytic Solutions to internal customers. The senior 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, analyze and draw conclusions, and presenting the results back to business users.

Essential Responsibilities and Duties:

Technology

  • Must know the in and out of the AI/ML algorithm being used and not just the library to call.
  • Should have commissioned at least two projects end to end beyond the Proof of Concept.
  • 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

Business

  • 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

External Presence

  • Engage with the external technical and business community to brand and differentiate analytics best practices in Schlumberger
  • Participate in technical forums and other appropriate events and conferences

Qualifications and competencies:

Essential qualifications

  • PhD or Master’s degree in Computer Science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes.
  • 4-6 years of Industrial experience in developing core machine learning algorithms
  • Academically trained in the field of machine learning/AI/Data Science/Computer Vision etc
  • Excellent communication, verbal and written skills

Key competencies in data science technologies

  • Strong background in some of these listed areas: Machine learning, time series analysis / sensor processing, AI/Deep Learning, optimization/operations research, text analytics/NLP, Applied Mathematics, Decision Sciences, Computer Vision
  • Building and applying machine learning / predictive modelling in real-world use cases
  • Strong understanding and implementation and solution architecting of predictive / analytical modeling techniques, theories, principles, and practices
  • Strong theoretical foundations in machine learning, optimization, stochastic process, linear algebra etc.
  • Excellent knowledge of data mining / predictive modeling tools such as Python, Spark, Tensorflow, Keras, MLlib etc.
  • Ability in designing distributed and parallelized algorithms
  • Ability in deploying real world solutions in Hive, Spark and other Hadoop Technologies in Cloud and In-premise
  • Capable of delivering on multiple competing priorities with little supervision

Other skills and abilities

  • Deep understanding of big data platforms such as Azure, Google cloud etc.
  • Ability to abstract model representations and formulate repeatable models
  • Strong ability to work in a fast-paced environment
  • Strong ability to work both autonomously and in a team
  • Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
  • Understanding of Oil and Gas domain is a plus
  • Experience working with, processing and managing large data sets (multi TB scale) is preferred
  • Experience in real-time stream processing is a plus
  • Keep continuously up to date on all assigned technologies

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.

 

 

Senior Data Scientist
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