DE&A - AIML - Data Science - Artificial Intelligence of Things (AIOT)

Roles and Responsibilities:

The Data Scientist will join a vibrant Data Science team in the newly formed Data Science and ML Capability Center (CC) under the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Data Scientist will be responsible for development, deployment and support of data science solutions/products in an agile fashion on a range of business issues. They will also be accountable for adhering to Shell quality standards for producing digital solutions.

Key Characteristics: 

Create full-stack data science application/tools on a digital platform 

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. Rinse and repeat, cross-pollinate ideas across projects and assets 

Partner with P&T Research teams, convert Proof of Concepts into scalable data products 

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.   

Contributes to community building initiatives like CoE, CoP.

Mandatory skills:

Machine Learning and Statistical Modelling - Mastery

Exploratory Analysis - Skill

Core Programming Skills & Languages - Skill

AI Engineering Essentials- - Skill

DevOps and Agile - Skill

Cloud deployment frameworks, infrastructure, and tooling - Skill

Optional skills:

8Knowledge of Information Management, data strategy and governance  

Commercial skills in Value Assurance, Value estimation and Realization, end-to-end value mapping