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. Further information about Schlumberger can be found at • Assimilate next-generation technologies for data-driven solutions in oil and gas domain • Generate innovative ideas, establish new research directions, and shape and execute on research projects • Apply engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization • Collaborate with business and engineering teams to implement robust and scalable industrial software solutions • Contribute to technical discussions and undertake reviews of different projects as an expert • Communicate ideas, plans, and results effectively to different stake holders • Participate in technical forums and other appropriate events and conferences •M.S/MTech/PhD in computer science, mathematics, physics, applied sciences, engineering or similar disciplines with demonstrated research capability •Min 4 to 7 years of experience in development of data science algorithms. •Proven experience in developing core machine learning algorithms in professional research and development settings •Require Strong knowledge of machine learning and deep learning algorithms and their application to time series analysis, text analytics/NLP, computer vision etc •Strong expertise in ETL processes, data manipulation, and data quality assurance. •Knowledge of developing deep learning models using TensorFlow, Keras, Pytorch, LLM etc. •Expert-level proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn). •Proven experience with R for statistical analysis, data visualization, and web applications (e.g., RShiny). •Extensive hands-on experience with Dataiku for building and orchestrating automated data science workflows. •Proven expertise in developing complex, interactive dashboards and data visualization solutions •Advanced proficiency in SQL for complex data querying, manipulation, and optimization. •Knowledge of designing distributed and parallelized algorithms for ML applications •Understanding and experience in Oil and Gas domain •Knowledge of designing distributed and parallelized algorithms for ML applications. •Experience in processing and managing large data sets (TB scale). •Familiarity with C# for plugins creation or other development tasks. •Familiarity with petrophysical analysis software like Ocean for Techlog and scripting for automation within such environments. •Track records of past publications in relevant topics. •Prior experience leading technical projects or mentoring junior data scientists. •Track records of past publications in relevant topics As a leading employer in our industry, Schlumberger is proud to offer a highly competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families.