Job Description

Job Title: Data Scientist

Job Location: Houston, TX

Job Type: Long Term Contract

Job Description

• Degree in STEM field, Ph.D preferred.
• Master in Deep Learning, Reinforcement Learning, and multimodal large language model.
• Strong Pytorch or TensorFlow programming
• 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

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:

• Knowledge of Information Management, data strategy and governance
• Commercial skills in Value Assurance, Value estimation and Realization, end-to-end value mapping.

Additional details

• Need to be based out of Houston
• Industry - Understanding in sub surface Well, Geology/Geoscience, including AI, highly research bend- Phd Stem field
• Deep understanding of algorithm, multimodal large language model, data, language Python, master in Deep Learning, Reinforcement Learning,
• Strong Pytorch or TensorFlow programming
• Interns and fresh hire is fine not expecting more than couple of years of experience in this relatively new field.

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.

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.

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