JOB DUTIES: Telecommuting benefit

Be responsible for guiding the successful delivery of analyticsolutions to internal customers. Design and execute research and tackleopen-ended data problems related to AI, ML, predictive modeling, data mining,and research on large-scale, complex data sets using statistical, machinelearning, graph modeling, text mining, and other modern techniques.

Collaboratewith various teams and provide periodic updates through presentations andproto@type demonstrations. The role involves workingon multiple projects simultaneously and formulating key business requirements. Help to develop, analyze, draw conclusions, and presentresults to business users. Research and assessnext-generation technologies for data-driven solutions in digital production. Generate innovative ideas, establish new researchdirections, and shape and execute technical projects. Apply theoretical knowledge to solve industrial problems. Develop data-driven algorithms and proto@types forclassification, regression, anomaly detection, failure prediction, andoptimization. Work with business and engineeringteams to implement robust and scalable industrial software solutions. Maintain state-of-the-art knowledge and contribute totechnical discussions and reviews as an expert in related areas ofresponsibility. Communicate ideas, plans, andresults effectively through oral and written reports. Participate in technical forums, events, and conferences. Apply experience in digital production, machine vision,and Generative AI using large language

models (LLMs).

Workwith technology platforms such as Dataiku, Google Cloud Platform (GCP), andMicrosoft Azure.

MINIMUM EDUCATION:

Masters degree in Computer Science or relateddisciplines (e.g., Mathematics, Applied Science, Engineering) with demonstratedresearch capability

MINIMUM EXPERIENCE:

3years of experience as Data Scientist in data analytics, machine learning, datavisualization, cloud platform technologies, digital production, machine vision,Generative AI using large language models (LLMs), technology platforms such asDataiku, Google Cloud Platform (GCP), Microsoft Azure, and oil and gas domainknowledge.

SCHLUMBERGER TECHNOLOGY CORP

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