Role: Data Scientist.
Location: Houston TX (Onsite).
Duration: 12 Months.
Job Summary:
- 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.
Role: Data Scientist. Location: Houston TX (Onsite). Duration: 12 Months. Job Summary: 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 ...
Role: Data Scientist.
Location: Houston TX (Onsite).
Duration: 12 Months.
Job Summary:
- 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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