ExxonMobil Veterans

Job Role Summary

Senior data scientists at ExxonMobil Technology and Engineering Company combine domain expertise with interdisciplinary data science skills to bring insights to today’s most challenging energy decisions. We are looking to hire candidates to work on challenging data science problems across our oil & gas businesses, including exploration, production, refining, chemicals, and retail.

Job Role Responsibilities

• Apply statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems

• Contribute to all stages of data modeling and analytics projects, including problem formulation, solution development, and product deployment:

• Translate business-relevant scientific, engineering, and commercial problems into questions that may be addressed using data science

• Design experiments and/or run simulations to generate new data in support of analytic studies

• Retrieve and combine data from databases, data historians, and/or data lakes; there is a strong emphasis on programming, particularly using scripting languages

• Perform exploratory data analysis for quality control and improved understanding

• Rigorously and reproducibly build, analyze, and compare statistical and/or machine learning models

• Contextualize the results and synthesize them with existing knowledge and/or domain-specific models

• Deploy data-analytic products to end-users and/or document data-analytic results in technical reports

Expected Level of Proficiency

• Experienced, mid-career data scientist with proven track record of solving challenging problems and influencing business partners;

• or, PhD in Statistics, Computer Science, Science or Engineering with significant experience in data science, focused on problem solution over algorithm development, is required

• Experience in Python, MATLAB, or R is required

• Excellent communication skills and experience working in a collaborative environment is required

• Previous work experience in the oil and gas industry, energy, or manufacturing is an advantage

• Demonstrated ability to mentor other data scientists is an advantage

• Demonstrated ability to accelerate the digital maturity of business partners is an advantage

• Knowledge of numerical methods for linear algebra and optimization is an advantage

• Experience in technical software development is an advantage

• Experience working in Linux and in a High Performance Computing environment is an advantage

Alternate Location: United States : Clinton, New Jersey

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.