トレンド企業

ExxonMobil
ExxonMobil

International oil and gas corporation

Operations Research Engineer

職種エンジニアリング
経験ミドル級
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Project Management

About us

At Exxon Mobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to Exxon Mobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

Exxon Mobil in Malaysia

In Malaysia, we host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to Exxon Mobil’s Upstream, Product Solutions and Low Carbon Solutions businesses worldwide. In the upstream, we have interests in two Production Sharing Contracts with PETRONAS, while in the Product Solutions business, we supply a portfolio of specialty chemical products to the marketplace.

What role will you play in the team

Operations Research Engineers function as internal consultants to support improved decision-making by developing models using operations research methods, such as mathematical optimization and stochastic simulation. They will work in a team environment to apply their technical skills, project management, and business domain knowledge to develop technological and analytics solutions in partnership with business units to influence and improve key business decisions.

The Operations Research Engineer is expected to work with global, cross-functional stakeholders to understand business problems (both commercially and technically), translate them into mathematical problems, and apply operations research methods to create solutions for decision support. This role will primarily work on business problems related to supply chain and commercial functions, especially for Fuels, Lubes, and Chemical products.

What will you do

  • Participate in the scoping of business problems to apply operations research methods

  • Work with key contacts to identify and translate data requirements which represent the system and constraints to be modeled

  • Develop custom mathematical optimization and/or stochastic simulation models by applying the following: linear programming, mixed-integer programming, system dynamics simulation, and/or discrete event simulation

  • Proactively drive cross-functional alignment across organizations (as needed) to validate model solution quality

  • Create documentation to explain how the operations research methods are applied, and conduct reviews with senior technical professionals to ensure technical quality

  • Ensure effective and efficient pace of work by managing project timelines, coordinating project team members, and providing timely updates to stakeholders

  • Work effectively within cross-functional, global teams (including business domain experts, product owners, decision science engineers, and IT) to design, develop, deploy, and sustain operations research-based solutions that are scalable and with commercial-grade quality

About you Skills and Qualifications

  • Master’s degree preferred in Industrial Engineering or Applied Mathematics (or relevant field)

  • Ability to translate general requirements and long-term deadlines into shorter-term work tasks, self-direct work, and monitor progress

  • Solicits inputs from subject matter experts (SMEs) and engages with cross-functional teams to drive results

  • Strong analytical skills with 5+ years’ experience in applying operations research modeling methods (mathematical optimization and/or stochastic simulation) for commercial-grade quality solutions

  • Competent in developing mathematical optimization models using mathematical modeling languages such as AIMMS, GAMS, AMPL, Pyomo, Gurobipy, etc.

  • Competent in developing system dynamics simulation models using software such as Stella Architect, Ven Sim, Any Logic, etc.

  • Curious mindset in understanding business problems and their related factors to develop solutions

  • Ability to view complex subjects from both high-level and detailed perspectives, and communicate appropriately with different audiences

  • Familiarity with Python, especially for developing and deploying operations research solutions

  • Experience with source code version control (Git)

  • Strong written and verbal communication skills

Your Benefits:

We are committed to providing benefits that are competitive and support the needs of our employees.

Application Process

Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.

For more information about business solicitation and recruiting scams, please click here.

We thank you for your interest in Exxon Mobil.

Stay connected with us
Follow us on LinkedIn or subscribe to our channel at YouTubeEqual Opportunity Employer
Exxon Mobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.

Voted Top 5 Graduates’ Choice of Employers in Malaysia for Oil and Gas category

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ExxonMobilについて

ExxonMobil

Exxon Mobil Corporation is an American multinational oil and gas corporation headquartered in Spring, Texas, a suburb of Houston. Founded as the largest direct successor of John D. Rockefeller's Standard Oil, the company was formed in 1999, with the merger of Exxon and Mobil.

10,001+

従業員数

Irving

本社所在地

$500B

企業価値

レビュー

10件のレビュー

3.6

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.5

キャリア

2.8

経営陣

2.3

65%

知人への推奨率

良い点

Good benefits and compensation

Good work-life balance

Supportive colleagues and team environment

改善点

Poor management and lack of support

Limited career advancement opportunities

Bureaucratic and slow decision-making

給与レンジ

11件のデータ

Mid/L4

Mid/L4 · Quantitative Analyst

2件のレポート

$223,963

年収総額

基本給

$172,279

ストック

-

ボーナス

-

$214,419

$233,506

面接レビュー

レビュー3件

難易度

2.3

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Background Check

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Safety Protocols

Culture Fit