ExxonMobil - Industrial Data Scientist

About us :

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the worlds 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 societys evolving needs. Learn more about our What and our Why and how we can work together.

What role you will play in our team :

Join ExxonMobil's Technology and Engineering Company as Industrial Data Scientist. We are seeking a highly skilled and motivated Operations Data Scientist to join our team. The ideal candidate will have a strong background in applying data science techniques to exploration, development, production, operations, manufacturing, and reliability in Oil & Gas domain. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.

What you will do :

- Apply data science methodologies to improve production, operations, and manufacturing processes.

- Develop and implement predictive models to enhance equipment reliability and reduce downtime.

- Analyze and optimize operational efficiency through data-driven insights.

- Develop, apply, and analyze physics-based or data-driven computational models.

- Utilize physics-based simulators to support operational decision-making.

- Collaborate with cross-functional teams to identify and solve complex operational problems.

- Communicate findings and recommendations to stakeholders through reports and presentations.

- Position could require 5-10% travel (domestic and/or international)

About You :

Skills and Qualifications :

- Bachelor's or Masters degree in Chemical Engineering, Chemistry, Mathematics, Computer Science, Civil, Electrical or Data Science from a recognized unviversity with GPA 7.0

- 3+ years of experience in a data science role, preferably in production, operations, or manufacturing environments.

- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

- Experience with physics-based simulators and computational modeling.

- Knowledge of predictive maintenance techniques and tools.

- Expertise in Computer Vision, Natural Language Processing (NLP), Time Series analysis.

- Experience with AI techniques and tools for operational improvements.

- Experience with software engineering practices, agile methodologies, DevOps, version control

- Experience working in Azure Databricks or any other data science frameworks

- Proficiency in programming languages such as Python.

- Software testing and development practices (Agile)

- Prior experience in operations, oil & gas, wells, or subsurface domain applications is highly desirable.

- Strong understanding of statistical analysis and data visualization tools (e.g., Tableau, Power BI).

Preferred Qualifications / Experience :

- Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence

- Proven track record of developing and implementing data-driven solutions to improve operational efficiency.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent communication skills, both written and verbal.

Your benefits :

- 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

- Retirement 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

Note : If shortlisted, you will be invited for initial rounds on 21st June 2025 (Saturday) in Bengaluru