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Commercial Data Scientist
ExxonMobil
posted 5d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are seeking candidates to tackle challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using data science, econometrics, statistical analysis, and programming skills.
What you will do
- Collaborate with data scientists, data analysts, software developers, business representatives from chemical, lubricants, and fuels value chains, and demand planners globally to develop, deliver, and apply computational tools, models, or software to support our business.
- Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial and logistics problems and provide business insights.
- Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations.
Skills and Qualifications
- Bachelor s, Master s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0).
- At least 2 years of experience in developing, applying, and validating data-driven tools to model complex systems.
- In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
- Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.
- Specialization in at least one sub-domain, such as time series forecasting, econometrics, statistics, or NLP.
- Proficiency in Python and R, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
- Experience with software engineering practices, agile methodologies, DevOps, and version control.
- Experience working with Azure Databricks or other data science frameworks.
- Familiarity with software testing and development practices (Agile).
- Experience with data visualization tools (e.g., Tableau, Power BI).
Preferred Qualifications / Experience
- Knowledge of supply chain operations, including demand planning, inventory optimization, vehicle routing, and network optimization.
- Prior experience in commercial software development or working in commercial software teams.
- Ability to identify and scope data science opportunities based on business needs.
- Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
- Excellent problem-solving skills and attention to detail.
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
Employment Type: Full Time, Permanent
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People are getting interviews at ExxonMobil through
People are getting interviews through
(based on 36 ExxonMobil interviews)
Campus Placement
Company Website
Job Portal
Recruitment Consultant
Referral
31%
25%
19%
8%
3%
14% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What people at ExxonMobil are saying
Rating based on 6 Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Bengaluru/Bangalore
Likes
Overall great learning and work life balance
Dislikes
Nothing in particular enjoying my work here
Read 6 reviewsData Scientist salary at ExxonMobil
reported by
48
employees
₹11.8
L/yr - ₹39
L/yr
68%
more
than the average Data Scientist Salary in India
View more details
What ExxonMobil employees are saying about work life
based on 424 employees
Flexible timing
Monday to Friday
No travel
Day Shift
ExxonMobil Benefits
Submitted by Company
Health Insurance Child care Education Assistance 
Cafeteria Competitive compensation
Submitted by Employees
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