General Overview 

Studio X is a global innovation studio accelerating the pace of energy innovation, by harnessing the spirit of innovation, collaboration, community, and a passion for pursuing what’s possible. With Studio X, people are able to come together from around the world to transform the way energy innovation works. Together we can equip top talent with cutting-edge tools, data, and resources from one of the world's largest companies in order to disrupt a multi-trillion dollar industry. 

Currently, Studio X is comprised of three distinct offerings: 

• XCover offers new ways of utilizing technology and talent to solve complex energy problems. We create pathways to accelerate results for energy projects, and enable innovation to go further, faster. 
• Xeek unleashes our data science community to solve difficult energy challenges. Working with Xeek gives you exposure to thousands of different experiences and perspectives from around the world that are simply not available in any one company. 
• SixLab is a startup accelerator focused on energy innovation. Participants can leverage the skills and experience of the Studio X community, the tools and platform of Xeek, and the AI/ML innovation from our core data and geoscience teams. 

Job Description 

We are looking for a Senior Data scientist. In this role, you will be working on subsurface exploration projects, building and optimizing machine learning models, creating/refining training data and testing results on industry quality data. You will utilize Python, Java, R and other languages and libraries in order to prototype and exhaustively test models with legacy and novel integrated data types in order to solve subsurface data analysis problems. As a key contributor, you will explore new ways to apply data science algorithms to subsurface data, share your learnings in a collaborative way to enable cross functional learning, and ultimately contribute to an automated machine learning framework that will transform the way we explore the subsurface. 

Lastly, it would be nice if you are capable of performing in a research-like environment, where you may be expected to prototype fast, let projects fail, identify when there is potential for further optimization… and be uncomfortable all at the same time :) 

What you should have: 

• Minimum five years of related work experience 
• Get your hands dirty and implement a set of prototypes/experiments to aggressively de-risk projects. 
• Capable of end to end data science prototype implementation including data analysis, holdout testing and performance framework implementation
• Able to carry out independent algorithm research around current and future data types in order to seek optimal model architectures and new technologies 
• Be a team player, contributing and enabling team success 
• Motivated by making the world a better place through technology, and wanting to be part of a team that makes it happen 

What it would be nice to have: 

• Experience building machine learning models on geophysical data (seismic surveys, well logs, documents, EM/gravity/mag …) 
• Self-starter - can make progress independently. 
• Strong communication skills. 
• Ability to influence without authority, working with technical and cross-functional teams who do not report into this role to get things done 
• Communicate effectively to deliver clearly annotated prototypes to engineering team and interact effectively 

Additional Attributes: 

• Strong background in Mathematics, Statistics, Inverse theory 
• Able to build Data Analysis dashboards to validate model results 
• Able to prototype from research papers quickly 
• Working experience and deep knowledge of Python, R, Java, Julia, etc… 
• Amazon AWS Experience 
• Capable of carrying out model performance testing 
• MLOPS experience on AWS 
• Comfortable with the experimental design process, and capturing scientific processes in concise, clear way 
• Clear documentation background 
• Experience solving complex research problems 
• AWS Sagemaker experience 

Education 

• MS/PhD degree or equivalent practical experience. BS minimum 

Time Commitment / Travel Requirements 

• Full-time 
• Preferred location: Austin, Remote for the right candidate 
• Up to 25% travel may be required