Computational Scientist

ExxonMobil India Careers; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Competitive compensation

Medical plans

Maternity leave and benefits

Life insurance

Retirement benefits

Global networking

Annual vacations

Tuition assistance

Workplace flexibility

Relocation program

Transportation facility

Job summary

ExxonMobil India Careers seeks a data science professional to develop and apply hybrid models that combine first-principles knowledge with data-driven methods to accelerate product development in Bengaluru. You will analyze experimental and field data to link formulations, processing conditions, and performance, and build predictive models for optimization, stability and quality.

The role involves designing DOE experiments, collaborating with R&D scientists, chemists, and developers, and

Qualifications

• PhD or Master’s degree in Chemical Engineering, Materials Science, Mechanical Engineering, Data Science, or a related field.
• For Master’s candidates, minimum 3+ years of industry experience in downstream, chemical, or materials/product development environments is strongly preferred.
• Strong preference for candidates with experience in formulation modeling or property prediction; hybrid modeling applied to product or material performance.

Responsibilities

• Develop and apply hybrid models that combine first-principles understanding with data-driven methods to accelerate product development.
• Analyze experimental and field data to relate formulation, processing conditions, and product performance.
• Build predictive models to support formulation optimization, performance prediction, product stability and quality.
• Design and support experiments (DOE) to generate data for model development and validation.
• Collaborate with R&D scientists, chemists, and product developers to guide formulation strategies and decision-making.
• Develop data-driven insights and digital tools to reduce development cycle time and improve success rates.
• Ensure model validity through validation, uncertainty quantification, and alignment with domain knowledge.
• Document methodologies and modeling workflows for reproducibility.
• Contribute to reusable modeling frameworks and best practices for data-driven product innovation.

Skills

Hybrid modeling

Machine learning

Statistics

Python

Time-series data

Communication

Cross-functional collaboration

Education

PhD or Master’s degree in Chemical Engineering or related field

Tools

Databricks

Azure

AWS

Snowflake

SQL

Job description

What You Will Do

• Develop and apply hybrid models that combine first-principles understanding (chemistry, materials behavior) with data-driven methods to accelerate product development.
• Analyze experimental and field data to uncover relationships between formulation, processing conditions, and product performance.
• Build predictive models to support:
• Formulation optimization
• Performance prediction
• Product stability and robustness
• Quality improvement
• Design and support experiments (DOE) to efficiently generate data for model development and validation.
• Collaborate closely with R&D scientists, chemists, and product developers to guide formulation strategies and decision-making.
• Develop data-driven insights and digital tools to reduce development cycle time and improve success rates.
• Ensure model validity through proper validation, uncertainty quantification, and alignment with domain knowledge.
• Document methodologies, assumptions, and modeling workflows to support reproducibility and knowledge sharing.
• Contribute to development of reusable modeling frameworks and best practices for data-driven product innovation.

About You

• Strong foundation in hybrid modeling, integrating domain knowledge (chemistry, formulations, materials behavior) with statistical and machine learning approaches.
• Experience applying modeling to product development, formulation optimization, and performance prediction.
• Solid understanding of experimental data (lab, pilot, and field) and how to incorporate it into predictive models.
• Proficiency in Python or other programing languages for data analysis, modeling, and automation.
• Experience with time-series and experimental datasets related to product performance, stability, and quality.
• Demonstrated ability to translate complex modeling results into insights that guide product design and development decisions.
• Strong communication skills and ability to collaborate with scientists, chemists, and product developers.
• Familiarity with SQL and modern data platforms (Databricks, Azure, AWS, Snowflake) is a plus.
• Ability to work independently and within cross-functional R&D teams.

Skills/Qualifications

• PhD or Master’s degree in Chemical Engineering, Materials Science, Mechanical Engineering, Data Science, or a related field.
• For Master’s candidates, minimum 3+ years of industry experience required experience in downstream, chemical, or materials/product development environments is strongly preferred.
• Strong preference for candidates with experience in:
• Formulation modeling or property prediction
• Hybrid modeling applied to product or material performance

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

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.

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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.