Shell Data Science Lead- Houston ,TX in Houston, Texas
Data Science Lead- Houston ,TX
No. of Positions:
Data Analytics is a fast-growing discipline with numerous current and potential applications almost everywhere in Shell’s business. It is part of the Digitalisation transformation that is currently happening in Shell and, in fact, across the whole industry.
The R&D Data Science team focuses on the analysis and optimisation of business processes by application of mathematical, statistical and computational techniques to the process data as they are available. This includes modelling of chemical or physical processes as they occur in e.g. LNG plants, GTL reactors, refineries. Apart from process optimisation, other techniques include ‘traditional’ data driven (black box) approaches, including Bayesian techniques and Deep Learning, as well as combinations of deterministic (white box) and date driven approaches, so called ‘grey box’. The identification of new business problems, translating these into well-defined solvable research problems is an important aspect of the job.
• Will lead significant projects and assists others in the technical aspects of projects with an R&D focus
• Contributes to the improvement of existing data science/analysis processes, with a particular focus on new and emerging techniques (e.g. machine learning)
• Works with stakeholders giving advice and technical support, acting as a Subject Matter Expert
• Software tool development with an R&D focus, but interfacing with other parts of the team (Data Engineering, Data Science Development, IT) to scale-up solutions
• Proactively seeks new opportunities in line with business plans
• Makes use of networks to promote data science
Auto req ID:
R&D FS - Math Comp & Data Science
Country of Work Location:
Shell is a global group of energy and petrochemical companies with about 84,000 employees across more than 70 countries. We aim to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally and socially responsible. We have expertise in exploration, production, refining and marketing of oil and natural gas, and the manufacturing and marketing of chemicals. As a global energy company operating in a challenging world, we set high standards of performance and ethical behaviors. We are judged by how we act and how we live up to our core values of honesty, integrity and respect for people. Our Business Principles are based on these. They promote trust, openness, teamwork and professionalism, as well as pride in what we do and how we conduct business.Building on our core values, we aspire to sustain a diverse and inclusive culture where everyone feels respected and valued, from our employees to our customers and partners. A diverse workforce and an inclusive work environment are vital to our success, leading to greater innovation and better energy solutions.
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Houston - Westhollow Technology Center
Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
Ph.D. in (applied) Math, Physics or an engineering discipline. Candidates with a Master’s degree in any of these disciplines can also apply if they can demonstrate R&D skills and delivery from earlier experiences.
Strong background in process optimization theory, numerical analytics, and machine learning.
Solid programming experience in a higher-level programming language, like Python, C++, Java, MATLAB etc.
Understanding what it takes to convert an R&D result to end-to-end delivery to the end customer
Good communication and reporting skills, and experience leading R&D projects with a big budgets
City, State (if applicable):
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