Senior Supply Chain AI Analytics (Data) Engineer / Data Scientist AI Supply Chain Insights

Dice is seeking a Senior Supply Chain AI Analytics Engineer / Data Scientist to lead projects in AI and supply chain analytics. The role requires extensive experience in analytics engineering and data science, with a focus on delivering impactful data products.

Responsibilities:

• Proven ability to own medium large projects endtoend with minimal guidance
• Clear track record delivering production, businesscritical data products
• Advanced SQL (Presto/Hive or equivalent)
• Strong Python (pandas, NumPy; production-grade usage)
• Hands-on experience building and maintaining scalable ETL/ELT pipelines
• Data modeling & warehouse design (dimensional models, star/snowflake schemas, Databricks or similar)
• Practical application of statistical methods (regression, hypothesis testing, time series)
• Experience conducting root-cause analysis and quantifying business impact
• Ability to synthesize analysis into clear, executive-ready insights
• EXCELLENT communication skills with technical and non-technical stakeholders
• Experience partnering closely with Operations / Finance / Planning Managers
• Fluent in translating ambiguous business needs into reliable data solutions

Requirements:

• 8+ years in analytics engineering, data engineering, or data science
• Proven ability to own medium large projects endtoend with minimal guidance
• Clear track record delivering production, businesscritical data products
• Advanced SQL (Presto/Hive or equivalent)
• Strong Python (pandas, NumPy; production-grade usage)
• Hands-on experience building and maintaining scalable ETL/ELT pipelines
• Data modeling & warehouse design (dimensional models, star/snowflake schemas, Databricks or similar)
• Practical application of statistical methods (regression, hypothesis testing, time series)
• Experience conducting root-cause analysis and quantifying business impact
• Ability to synthesize analysis into clear, executive-ready insights
• EXCELLENT communication skills with technical and non-technical stakeholders
• Experience partnering closely with Operations / Finance / Planning Managers
• Fluent in translating ambiguous business needs into reliable data solutions