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Shell is looking for a Data Scientist who is responsible in creating Machine Learning models, tuning and productize the entire workflow.
As part of the Data Science R & D team, the DS Application developer's key responsibility is to build our Data science development and production infrastructure and deployment of Data science solutions for Shell businesses.
Effective communication is critical for the role, as you will be engaging with business leaders, support functions and end-users throughout the company. Other key skills include a demonstrated ability to work independently, to drive and implement change and to scale processes in a fit-for-purpose manner.
Data Science Application Developer should have analytical abilities to interpret data, manage the huge volume of data, training models and interpretation of results through visualization.
In other words, the role entails:
Responsible in architect DS application development and deployment pipelines
Responsible in creating Machine Learning models, tuning and productize the entire workflow
Responsible for deploying PoC solutions to assets as Data science services, AI-based solutions to address sustainability, new energies, etc.
Understanding of Continuous Improvement/LEAN/Agile will be beneficial
Responsible to help business customers to interpret and put results of the Data science models into operations.
Keep abreast of the latest application development efforts in productize machine learning models.
Shell is a global group of energy and petrochemicals companies. It consists of the businesses of Upstream, Integrated Gas, Downstream, and Projects & Technology. With approximately 90,000 employees in more than 70 countries and territories, Shell is helping to meet the world's growing demand for energy in economically, environmentally and socially responsible ways. Join the conversation on Facebook.com/Shell Follow us on Twitter.com/Shell Learn more about us on YouTube.com/Shell