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.

• Robust 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 Statistic

📌 Artificial Intelligence Scientist (India)
🏢 ExxonMobil
📍 India