Artificial Intelligence Scientist

ExxonMobil India Careers; Bengaluru; On-site; INR 2,500,000 - 3,800,000; Full time

Benefits offered by this job

Competitive compensation

Medical plans and retirement benefits

Global networking and cross-functional

Training and development program

Relocation program

Job summary

ExxonMobil India is seeking a highly skilled statistician to analyze large datasets and drive data-driven decisions in Bengaluru. You will design experiments, build robust models, and collaborate with engineers and scientists to translate complex results into actionable insights. Strong proficiency in R or Python, SQL, and modern data environments is essential for this role. This position emphasizes rigorous methods and reproducible analyses.

Qualifications

• PhD or Master’s in Statistics, Biostatistics, Applied Mathematics, or related field.
• For Master’s candidates, minimum 3+ years of industry experience in relevant sectors.

Responsibilities

• Apply statistical methods to analyze high-volume datasets and extract insights.
• Design and run experiments (DOE, hypothesis testing) to support development and optimization.
• Develop, validate, and maintain statistical models with diagnostics and interpretability.
• Collaborate with cross-functional teams to frame problems statistically.
• Create dashboards and tools communicating variability and KPIs clearly.
• Ensure analyses are reproducible with documentation and version control.
• Contribute to standardized statistical methodologies and reusable code libraries.
• Integrate statistical analyses into operational and digital platforms where appropriate.

Skills

Statistical inference

Regression modeling

Experimental design

Multivariate methods

R programming

Python programming

Data wrangling

Communication of results

Education

PhD in Statistics

Master's in Statistics

Tools

SQL

Databricks

Azure

AWS

Snowflake

Power BI

Tableau

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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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.