Data Scientist | Schlumberger

Job Details

Data Scientist

Mexico City - Mexico

The Data Scientist role will be responsible for guiding the successful delivery of Analytic Solutions to internal customers, also designing and executing processes related to 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.

Roles and responsibilities

Technology

  • Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements
  • Should have commissioned at least two projects end to end beyond the Proof of Concept.
  • Deliver enterprise level analytics solutions to customers
  • Develop Secure & scalable analytics solutions in cloud
  • Architect the data science solutions to complex high dimensional data
  • Deep dive on to theoretical and implementation details and provide the solution fundamentals
  • 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

Qualifications and Requirements

Essential qualifications

  • Advanced (M.S/MTech/PhD) degree in Computer Science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes.
  • Excellent communication, verbal and written skills
  • 4 to 6 years of experience

Key Competencies in data science technologies

  • Strong theoretical foundations in machine learning, optimization, linear algebra, Probability & Statistics.
  • Good understanding of Machine learning, Deep Learning Algorithms, Operations research, Decision Sciences algorithms
  • Building and applying machine learning in real-world use cases
  • Strong understanding, implementation and solution architecting of predictive / analytical modelling techniques, theories, principles, and practices
  • Excellent knowledge of data mining / predictive modeling tools such as Python, Tensorflow, Keras, etc.
  • Capable of delivering on multiple competing priorities with little supervision
  • Experience/ exposure in deploying end to end AI Products on cloud
  • Python - Expert
  • SQL - Expert
  • Machine learning/ Data science algorithms - expert
  • Cloud development - good to have

Good to Have skills and abilities

  • Track records of past publications & patents in the relevant topics is a plus
  • Strong ability to work in a fast-paced environment
  • Strong ability to work both autonomously and in a team
  • Understanding of Oil and Gas domain is a plus
  • Experience working with, processing and managing large data sets (multi TB scale) is preferred
  • Knowledge of designing distributed and parallelized algorithms for ML applications will be a plus
  • Experience in real-time stream processing, IoT, Edge Analytics 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.

 

Data Scientist
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