Artificial Intelligence Scientist

ExxonMobil; Bengaluru Urban; On-site; INR 2,500,000 - 6,000,000; Full time

Benefits offered by this job

Competitive compensation

Medical and retirement benefits

Global networking

Annual vacations and holidays

Relocation program

Training and development

Job summary

ExxonMobil in Bengaluru, India seeks a highly skilled statistician/data scientist to lead analysis on large datasets. The role emphasizes experimental design, model development, and translating complex results into business decisions.

Collaboration with engineers and scientists is required to drive process optimization and product improvement. You will develop reproducible workflows, create dashboards, and contribute to standardized statistical methods across industrial projects.

Qualifications

• PhD or Master’s degree in Statistics, Biostatistics, Applied Mathematics, or related quantitative field.
• For Master’s candidates, minimum 3+ years of industry experience in chemical/manufacturing/process industries preferred.
• Hands‑on experience with experimental design, causal inference, and statistical modeling in real‑world industrial settings.
• Ability to balance statistical rigor with practical business impact and clear communication.

Responsibilities

• Apply rigorous statistical methods to high‑volume datasets to extract insights.
• Design and run experiments (DOE, hypothesis testing) to support product/process optimization.
• Develop, validate, and maintain statistical models with diagnostics and interpretability.
• Translate results into actionable insights for technical and non‑technical stakeholders.
• Create dashboards/tools to communicate variability, uncertainty, and KPIs clearly.
• Ensure reproducibility and robust analyses with documentation and version control.
• Contribute to standardized methodologies, reusable code libraries, and workflows.
• Integrate statistical analysis into operational and digital platforms where appropriate.

Job description

Job Description:

What You will Do

• Apply rigorous statistical methods to analyze complex, high-volume datasets and extract meaningful insights.
• Design and execute experiments (e.g., DOE, hypothesis testing frameworks) to support product development, process optimization, and quality improvement.
• Develop, validate, and maintain statistical models, ensuring proper assumptions, diagnostics, and interpretability.
• Partner with engineers, scientists, and other stakeholders to frame problems statistically and guide data-driven decisions.
• Create dashboards and analytical tools that communicate variability, uncertainty, and key performance metrics effectively.
• Ensure reproducibility and robustness of analyses through proper documentation, version control, and statistical best practices.
• Contribute to the development of standardized statistical methodologies, reusable code libraries, and analytical workflows.
• Integrate statistical analysis into operational and digital platforms where appropriate.

About You

• Deep expertise in statistical inference, regression modeling, experimental design (DOE), and multivariate methods.
• Strong programming skills in R or Python, with emphasis on statistical computing, reproducible analysis, and data wrangling.
• Proven ability to translate complex statistical results into clear, actionable insights for both technical and non-technical stakeholders.
• Strong communication skills, including presenting statistical findings, assumptions, and limitations in industrial research setting.
• Experience designing, analyzing, and interpreting experiments (e.g., A/B testing, process optimization studies).
• Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau).
• Working knowledge of SQL and modern data environments (e.g., Databricks, Azure, AWS, Snowflake) is a plus.
• Ability to work independently and collaboratively within cross-functional teams.

Skills/Qualifications

• PhD or Master’s degree in Statistics, Biostatistics, Applied Mathematics, or a closely related quantitative field (Data Science or Engineering considered with strong statistical emphasis).
• For Master’s candidates, a minimum of 3+ years of industry experience is required; experience in chemical, manufacturing, or process industries is a plus.
• Candidates with hands‑on experience in experimental design, causal inference, and statistical modeling in real‑world industrial settings.
• Candidates with a demonstrated ability to balance statistical rigor with practical business impact are especially encouraged to apply.

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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ExxonMobil is an Equal Opportunity Employer:

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Requirements: