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Engaged Employer

ExxonMobil

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3.8

based on 445 Reviews

Video summary

153 ExxonMobil Jobs

Industrial Data Scientist

Exxon Mobil Corporation

3.8

based on 445 Reviews

3-8 years

₹ 21 - 36L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Industrial Data Scientist

ExxonMobil

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Python Computer Networking Machine Learning Operations Computer Vision

+ 2 more

Job Description

Join ExxonMobils 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)

Skills and Qualifications

Bachelors 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