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.

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