NATURE OF ASSIGNMENTS
ExxonMobil is seeking professionals in the data analytics area who are able to leverage their advanced analytic skills to model complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. This role requires proficiency at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.
The primary role responsibility is to support audits through implementation of the above techniques. Ideal candidates would have a strong mathematical and statistical background with an understanding of Computer Science and associated technologies. Domain Expertise in any part of the business is a plus. Prior experience in Python, R, SQL, MS BI, Java, and/or Visual Studio (C++, C#, F#, etc.) is required.
REQUIRED QUALIFICATIONS, SKILLS, ABILITIES AND KNOWLEDGE
Minimum of a Bachelor degree; Mathematics, Statistics or Computer Science degree, , or at least 3 years of relevant analytics experience, preferred
Master degree a plus
Ability to solve loosely defined business problems by leveraging pattern detection over potentially large datasets
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Strong programming skills and statistical modeling in software (Python, R, SQL, MS BI, Visual Studio, etc.)
Strong communication and interpersonal skills
PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES
Experience using machine learning algorithms
Power User experience with SAP
Knowledge of one or more business/functional areas
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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