Data Science Specialist in Aberdeen, Texas, United States

Description:

The primary responsibility of the E&P IT Specialist Data Science, Analytics is the technical implementation of an enterprise class machine learning environment. The successful candidate will be responsible for constructing high quality computer based probabilistic models to answer business problems, providing technical recommendations in support of an machine learning roadmap, developing the infrastructure necessary to interact with models and establish sustainable methods for deployment and support of the models.

The Analytics Specialist Data Science position is a business facing role, accountable for the end-to-end usage and value creation for analytics models and workflows. The ideal candidate will have a computer science degree or equivalent, 5-10 years’ experience, a high level of mathematical and statistical knowledge, a deep understanding of the business function and industry best practices; and the ability to recognize data patterns and relate them to real world scenarios.

The successful candidate will work closely with an Asset, Functional Excellence, and IT teams on a variety of projects from framing through deployment and ongoing continuous improvement efforts. Work will include strategic reviews, profiling and scoring opportunities, data identification and cleansing, problem solving, process reengineering and business engagement.

Strong people and communication skills, and sound analytical and interpersonal skills are essential for success in this position. A strong sense of ownership and a drive to improve existing systems and processes is needed.

ROLE / RESPONSIBILITIES:

• Interpret key business problems and hypothesize/targets for improvement into actionable machine learning task
• Build and deploy Machine Learning infrastructure
- High performing Machine Learning models
- Provide statistical verification of model quality
- Easily accessible middleware layers for interactions with models
- Maintain versioning and documentation of model builds for backwards capability and audit purposes
- Organize and monitor support of models in production
• Analyze and apply the results of the model to the business problem
• Conduct opportunity reviews to evaluate readiness, value, and delivery capabilities
• Understand business process work flows and applicability to models
• Develop ETL and Data Repository solutions to support machine ,earning and analytics projects

SKILLS/COMPETENCIES:

• Strong understanding of cloud offerings specifically Azure
- Azure SQL
- Azure DW
- Azure Blob
- Azure Data Factory
• High level mathematical and statistical abilities
• Familiarity with domain data and quality
• Innovator and Value Creator
• Good Problem solving techniques; critical and logical thinking
• Good communication skills; Ability to work with all levels of the organization and high level of interpersonal skills in managing team members and customer relationships
• Influencing capabilities
• Solid understanding of data concepts such as master data, data governance, and integration based on key fields, etc.
 High performance delivery focus with an emphasis on task ownership and completion. Self-motivated with an enthusiastic, methodical and diligent approach
 Ability to multi-task and be flexible
 Knowledge of oil & gas well lifecycle or at least significant areas, e.g. production engineering, operations, D&C, in conventional and unconventional assets. This includes understanding current business practices / processes, key technical and business challenges, and knowledge of workflows to other parts of the business.

 Lean training a plus

EXPERIENCE / QUALIFICATIONS:

 Bachelor’s Degree in Statistics, Engineering, Computer Science, or equivalent
 5-10 years significant and relevant E&P engineering experience
 Proven experience with relationship management


Our role in supporting diversity and inclusion
As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.

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