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Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. The division also acts as the linear programming (LP) gatekeeper for wholly owned refineries and the integrated global MPIMS model, which is used for optimizing global crude allocation and exploration of new international markets and integration options.
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Related fields (e.g., Engineering, Mathematics) may be considered relevant if the program contains, at minimum, a concentration of courses in the following fundamental CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics.
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Broad working knowledge of data analysis concepts applied mathematics, statistics, database management, relational database architecture, and data quality control processes. Bachelor’s Degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field is required.
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Required Skills: Bachelor or Master Degree in Computer Science, Data Science, Statistics, Business Analytics, Applied Mathematics, or other engineering fields. At least 2 years hands on experience as developer with relational and non-relational DBMS such as Oracle, MySQL, PostgreSQL and MongoDB etc.
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This role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center. The position requires in-depth knowledge of research, machine – learning, artificial intelligence and complex algorithmic development.
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For some positions, graduation from an accredited college or university with a degree in physics, mathematics or chemistry may be accepted as qualifying, provided the applicant has had at least 15 credits in engineering sciences, common to all engineering disciplines, e.g. thermodynamics, statics, electrical science, applied mechanics, engineering drawing, strength of materials, etc.
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High School Diploma with a focus on algebra, geometry, and/or applied mathematics (Optional) Our Entry-Level Mechanics (or C-Mechanics) make sure our lanes, pinspotters/pinsetters, and other building equipment are all in tip-top shape by performing preventative maintenance and making emergency repairs when necessary.
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Education: Bachelor’s degree in Engineering, Engineering Technology, Mathematics, or Applied Science. Education: Bachelor’s degree in Engineering, Engineering Technology, Mathematics, or Applied Science.
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Associate degree in Applied Science, Electronics, or Engineering or accredited apprenticeship program or equivalent combination of education, experience, and training which provides the required knowledge, skills, and abilities will be accepted.
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MINIMUM EDUCATION: Master’s in Computer Science, Computer Engineering, Mathematics, Applied Statistics, Information Technology or Electrical Engineering. ALTERNATE EDUCATION: Bachelor in Computer Science, Computer Engineering, Mathematics, Applied Statistics, Information Technology or Electrical Engineering.
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Bachelor s degree in Actuarial Science, Applied Mathematics, Statistics, Economics, or Computer Science. As aSr Actuary Corporate Actuarial (Experienced Studies), your responsibilities will include:Develop experience studies to support cashflow testing, principle-based reserves, and pricing functions.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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Must be enrolled in a Master’s or Ph. D. program in Computational Finance, Financial Engineering, Financial Mathematics, Physics, Applied Mathematics, Statistics, or Finance. Highly skilled in financial mathematics, applied mathematics methods, statistical analysis, optimization, forecasting.
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