Vuesol
1SHLJP00005569 IT Data Engineering JG5|SC|ERM
Houston, Tx
Degree in STEM field, Ph.D. preferred. master in Deep Learning, Reinforcement Learning, and multimodal large language model. Strong PyTorch or TensorFlow programming 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
Degree in STEM field, Ph.D. preferred. master in Deep Learning, Reinforcement Learning, and multimodal large language model. Strong PyTorch or TensorFlow programming 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