Who We Are

We are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

We’re grounded by our SPIRIT Values – safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business – but not at all costs. We believe it’s not just what we do – it’s how we do it – that sets us apart.

We strive to make a significant difference in the communities where we live and operate. We create an inclusive environment that values all voices and opinions. Together, the different backgrounds, experiences, ideas, and perspectives of our employees drive our success.

Description

Leads development of advanced analytics solutions that can increase shareholder value. Interacts with leadership teams to evaluate, frame, prioritize and develop advanced analytics solutions based on machine learning/statistical techniques. Provides input based on advanced analytics experience to other Data Science team members working on highly complex problems.

Your responsibilities may include:

• Engage leadership and/or subject matter experts to understand business needs and find opportunities to apply advanced analytics methods to solve problems
• Lead high value projects that develop creative workflows to answer specific questions requiring different approaches to analysis of high-dimensional data
• Deliver training, knowledge sharing and participate in communicating the value of advanced analytics with a growing community of practitioners
• Adopt, improve and champion the advanced analytics assurance process to Bus and Functions – particularly as these techniques are applied to the subsurface
• Provide input on advanced analytics efforts underway among Data Science team based on prior experience
• Partner with data service teams in continuous improvement efforts, improving data quality and data access across the company
• Remain appraised of innovative analytics technology and data sources applicable to O&G industry
• Propose and participate in proof-of-concepts efforts for analytics technology and data sources applicable to O&G industry
• Apply advanced methods of conceptual modeling, statistical analysis, predictive modeling and optimization
• Ensure consistent application of data analytics methods to explore, analyze, visualize and model data when solving problems
• Collaborate in deploying systems that discover hidden insights/embedded patterns and enable business stakeholders to make more informed decisions
• Apply process optimization based on historical data
• Hypothesis testing: be able to develop hypothesis and test with careful experiments
• Invest in self-learning new techniques in the advanced analytics field and find innovative ways to apply when solving problems
• Partner with ConocoPhillips teams to deploy analytics/data-related initiatives
• Improve personal knowledge and performance to sustain and enhance professional development

Basic/Required:

• Must be legally authorized to work in the United States as a U.S. citizen or national, or an alien admitted as a permanent resident, refugee or asylee
• Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, Management Information Systems, or other quantitative discipline or foreign equivalent
• 3+ years of experience in applying data preparation, exploration, and visualization techniques within the oil-gas domain
• 3+ years of working experience in using statistics and analytical techniques in scientific experimentation
• 3+ years of experience applying machine learning algorithms to business problems
• 3+ years of experience applying deep learning and optimization techniques
• Intermediate proficiency in applying an analytical tool, such as Python or R etc. to solve business problems
• Intermediate proficiency with visualization tools such as SpotFire, Tableau, or MS PowerBI
• Willing and able (with or without reasonable accommodation) to travel 10% of the time on a yearly basis

Preferred:

• Master's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Physics, Engineering, or other quantitative fields or foreign equivalent
• 5+ years of working experience in using statistics, analytical techniques in scientific experimentation
• 5+ years of experience applying deep learning and various optimization techniques
• 5+ years of experience with visualization tools such as SpotFire, Tableau, or MS PowerBI
• 3+ years of experience in working with analytic/big data platforms, such as Hadoop
• 3+ years of experience of traditional programming languages – C++, C#, Java etc
• 3+ years of experience in using cloud analytic services such as those offered by Google Cloud, Amazon Web Services and Microsoft Azure platforms
• Advanced proficiency in applying an analytical tool, such as Python or R etc. to solve business problems
• Ability to analyze stakeholder needs, global, political, and market trends, and understand how they shape and impact our business results.
• Listens and invites dialogue to gain a shared understanding and influences with confidence to drive performance and achieve business results.
• Excellent social, organizational, and analytical skills
• Ability to articulate potential value of analytic solutions
• Able to establish relationships with stakeholders
• Able to seek opportunities to collaborate and achieve business goals
• Inspires continuous improvement and innovative thinking
• Ability to be sensitive to the potential business and personal impact from adoption of machine learning and AI
• Takes ownership of actions and follows through on commitments by holding others accountable and standing up for what is right
• Delivers positive results through realistic planning to accomplish goals
• Builds effective solutions based on available information and makes timely decisions that are safe and ethical

To be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of April 17, 2022.

Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee or asylee. Individuals with temporary visas such as A, B, C, D, E, F, G, H, I, J, L, M, NATO, O, P, Q, R or TN or who need sponsorship for work authorization in the United States now or in the future, are not eligible for hire.

ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.