Shell | Jobs | Senior Data Scientist | BigDataKB.com | 18-02-22

JG4
Introduction

The Senior data scientist will join the Asset Management Data Science team in the newly created Data Science and ML Capability Center (CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Senior Data scientist will be responsible for initiating, development and deployment of data science solutions/products in an agile fashion to the Assets. They will also be accountable for adhering to Shell quality standards for producing digital solutions.

Responsibilities

• Accountable for delivery of data science products in a production scale environment
• Manage the product lifecycle especially relating to data science, development to support.
• Transform proof of concepts into a larger deployable product in Shell and outside. Rinse and repeat, cross-pollinate ideas across projects and assets
• Partner with P&T Research teams, convert Proof of concepts into scalable data products
• Value estimation and Realization, end-to-end value mapping for Assets thru data science solutions
• Responsible for the supervision and contribution to project work to build machine learning models and digital solutions, providing the technical assurance on end-2-end delivery of data science solutions for Shell assets, in particular the machine learning component
• Will adhere to the principles of delivering quality through the MCDS digital quality initiative by conducting regular health checks, audits, code reviews to ensure that clean and maintainable production-level code is being produced by project teams
• Will evaluate and benchmark all new asset related initiatives prior to developing solutions.
• Will keep abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry

Required Skills and Experience

• Experience in developing, Deploying, supporting models in Production,
• Experience in developing end-to-end models using machine learning for predictive modelling in a business/industry environment, i.e. feature engineering, model creation and evaluation
• Ability to write clean, elegant and maintainable production-level code in Python and R, and experience in version control, testing, refactoring
• Experienced coder in data science languages such as R and Python (Pandas, Scikit Learn, etc.)
• Has firm grasp and demonstratable experience on the principles of the model development lifecycle and producing machine learning models that stand up to statistical rigour
• Has good knowledge and understanding of Shell.ai, GIT, Azure, CI/CD pipelines

Have experience in at least one out of the following:

• Machine Learning and Statistics
• Optimization (e.g. linear programming, multi-objective optimization, meta-heuristics, etc.)

• Knowledge of Bayesian Statistics and Bayesian/Probabilistic modelling

• Strong communication skills, especially explaining technical concepts to business people

• Extensive experience working in small, empowered, delivery focused, cross-functional and collaborating teams

• Experience of working in a virtual team and with virtual stakeholders

Desired Skills and Experience

• Knowledgeable in at least one of the following topics; Computer Vision, Deep Learning, NLP and reinforcement learning

• Bachelor or Master’s degree in any of the following: Engineering, statistics, machine learning, or relevant areas

• Experience working with one of the big cloud environments (e.g. AWS, Azure, GCP, etc.)

• Independent analytical thinker – ability to challenge established thinking to stimulate creativity