Artificial Intelligence Scientist

About the role

Deep expertise in statistical inference, regression modeling, experimental design (DOE), and multivariate methods. Proven ability to translate complex statistical results into clear, actionable insights for both technical and non-technical stakeholders. Experience designing, analyzing, and interpreting experiments (e.g., A/B testing, process optimization studies).

What you'll 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

What you need

• 3–6 yrs of experience
• Statistics
• Python
• R
• Data visualisation
• Power BI
• Tableau
• PhD

Good to have

• SQL
• AWS
• Databricks
• Snowflake
• Azure