Commercial 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 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**.

**What role you will play in our team**:
**What you will do**:

- 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.

**About You**:
**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

**Stay connected with us**:

- Learn more about ExxonMobil in India, visit **ExxonMobil India** and **Energy Factor India**.**:

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- Subscribe our channel at **YouTube**

**EEO Statement**:
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.

**Business solicitation and recruiting scams**:
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 busines