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# IT Data Scientist

- **Company:** Schlumberger Limited
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Computing, Data Infrastructure, Data Mining, Data Warehousing, Python (Programming Language), Machine Learning, Text Mining, Supervised Learning, Generative AI, Infrastructure Automation Frameworks, Information Technology, Unsupervised Learning
- **Published:** July 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p61o3tir7y

## About the Role

* Master's degree in Computer Science, Electrical Engineering, Mathematics and Computing;
 * Knowledge of Cloud technologies is an advantage;
 * Good knowledge and understanding of Machine Learning (supervised learning, unsupervised learning, time series), Artificial Intelligence, Generative AI
 * 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

## Description

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., * 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


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