ConocoPhillips Sr. Data Scientist in HOUSTON, Texas

Title: Sr. Data Scientist

Location: NORTH AMERICA-USA-TEXAS-HOUSTON

Job Number: 00RYW

Our Company

ConocoPhillips is the world’s largest independent E&P company based on production and proved reserves. Headquartered in Houston, Texas, ConocoPhillips had operations and activities in 16 countries, $70 billion of total assets, and approximately 10,800 employees as of Dec. 31, 2018. Production excluding Libya averaged 1,242 MBOED in 2018, and preliminary proved reserves were 5.3 billion BOE as of Dec. 31, 2018.

Employees across the globe focus on fulfilling our core SPIRIT Values of safety, people, integrity, responsibility, innovation and teamwork. And we apply the characteristics that define leadership excellence in how we engage each other, collaborate with our teams, and drive the business.

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.

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

  • 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

Qualifications:

Basic/Required:

  • Legally authorized to work in the United States

  • Master’s degree in MIS, Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or other quantitative discipline

  • 3 years of working experience in using statistics and analytical techniques in scientific experimentation

  • Advanced proficiency in statistical modelling programming skills in Python and/or R

  • Advanced experience in working with analytic/big data platforms, such as Hadoop, KNIME, and/or TeraData

  • Advanced experience with visualization tools such as SpotFire, Tableau, or MS PowerBI

  • Intermediate experience applying deep learning and optimization techniques

  • Intermediate proficiency in applying a range of data science techniques such as data mining and/or machine learning, in order to tackle business problems

Preferred:

  • Doctorate in Statistics, Mathematics, Computer Science, Data Science, Physics, Engineering or other quantitative field

  • 5 years of working experience in using statistics, analytical techniques in scientific experimentation

  • Advanced experience applying deep learning and various optimization techniques, including meta-heuristic search methods

  • Intermediate experience with reinforcement learning techniques

  • Expert experience in working with a number of analytic/big data platforms, such as Hadoop, KNIME, and/or TeraData

  • Advance experience in using cloud analytic services such as those offered by Google Cloud, Amazon Web Services and Microsoft Azure platforms

  • Project Lead / Managerial Experience

  • Ability to analyze stakeholder needs, global, political, and market trends, and understand how they shape and impact our business results.

  • Able to invite 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

  • Listens and invites dialogue to gain a shared understanding

  • 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 courageously dealing with important problems, holding others accountable, and standing up for what is right

  • Delivers results through realistic planning to accomplish goals

  • Generates 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 March 25, 2019.

Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a) (1). 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.

Job Function: Information Management-Information Technology

Job Level: Individual Contributor/Staff Level

Line of Business: ANALYTICS INNOVATION

Title: Sr. Data Scientist