Operations Research Engineer - Advanced

Exxon Mobil Corporation; Bengaluru; In loco; INR 1.400.000 - 2.600.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical plans

Maternity leave

Life insurance

Vacation & holidays

Day care assistance

Tuition assistance

Relocation program

Workplace flexibility

Descrizione del lavoro

Exxon Mobil Corporation in Bengaluru, India, is seeking Operations Research Engineers to develop optimization and simulation models that support strategic decisions across energy, chemicals, and lower-emissions solutions. You will collaborate with business units and IT to deliver scalable analytics solutions with commercial-grade quality.

The role emphasizes mathematical optimization, stochastic simulation, and cross-functional teamwork in a global environment.

Competenze

• Master's or PhD preferred in Industrial Engineering, Operations Research, or Applied Mathematics with OR specialization.
• 3+ years applying OR modeling methods to large-scale problems.
• Ability to translate requirements into tasks and drive results with cross-functional teams.
• Strong written and verbal communication with SMEs and stakeholders.
• Experience with modeling languages and data-driven decision support.

Mansioni

• Participate in scoping of business problems to apply OR methods.
• Identify data requirements representing systems and constraints to model.
• Develop optimization and/or stochastic simulation models (linear programming, MIP, system dynamics, discrete event).
• Drive cross-functional alignment to validate solution quality.
• Create documentation and review with senior technical staff.
• Manage project timelines and coordinate team members for timely updates.

Conoscenze

Operations Research

Mathematical optimization

Stochastic simulation

Python

GAMS

AMPL

Pyomo

Git

Formazione

Master's degree in Industrial Engineering / OR / Applied Mathematics

Strumenti

Gurobi

AnyLogic

Stella Architect

VenSim

Python

Descrizione del lavoro

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At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. 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 ExxonMobil 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 .

Job Group Capability

Data Science, Digital & Analytics

Job Group

Computational & Data Sciences

What Role Will You Play In Our 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.

What You Will 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

Skills And Qualifications

• Master’s degree or Ph. D. preferred in Industrial Engineering or Operations Research or Applied Mathematics or relevant Engineering field with specialization in Operations Research methods (mathematical optimization and/or stochastic simulation)
• Strong analytical skills with 3+ years’ experience in applying operations research modeling methods for large-scale problems to obtain commercial-grade quality solutions
• Ability to translate general requirements and long-term deadlines into shorter-term work tasks, self-direct work, and monitor progress
• Ability to solicit inputs from subject matter experts (SMEs) across technical and business domains and engage with cross-functional teams to drive results
• Ability to view complex subjects from both high-level and detailed perspectives, and communicate appropriately with different audiences
• 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, VenSim, AnyLogic, etc.
• Familiarity with Python, especially for developing and deploying operations research solutions
• Experience with source code version control (Git)
• Strong written and verbal communication skills

An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:

• Competitive compensation
• Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
• Global networking & cross-functional opportunities
• Annual vacations & holidays
• Day care assistance program
• Training and development program
• Tuition assistance program
• Workplace flexibility policy
• Relocation program
• Transportation facility

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

Functional Skills

Mathematical Framing of Business Problems

Applied Software Engineering for Data

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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