Lead Data Scientist - Finance & Accounting Automation

Job Area: Information Technology Group, Information Technology Group > Data Science

General Summary

The Data Scientist Record to Report will focus on designing, developing, and maintaining AI-driven solutions that support and enhance R2R processes. This role is primarily hands-on and technical, with a strong emphasis on machine learning, data engineering, and applied AI. The role does not own accounting processes, close execution, controls, or SOX responsibilities.

Role Focus

Data Science, AI Automation Delivery: ~80%

Functional Partnership Solution Enablement: ~20%

Key Responsibilities AI Data Science Solution Development

• Design, build, deploy, and maintain AI/ML solutions supporting R2R use cases such as anomaly detection, predictive analytics, and intelligent data validation.

• Develop Python-based data pipelines for ERP and finance data sources.

• Build and maintain ML models, LLM-powered tools, or AI agents augmenting R2R productivity.

• Ensure solutions are scalable, explainable, well-documented, and production-ready.

• Monitor solution performance, data quality, and model drift; continuously improve models post-deployment.

Platform Integration Partnership

• Partner with Enterprise AI, IT, and Data Platform teams for integration and deployment.

• Ensure solutions align with security, infrastructure, and architectural standards.

• Support solution enhancements, upgrades, and long-term maintainability.

Required Qualifications

• Bachelors orMasters degreein Computer Science, Data Science, AI/ML, Engineering, or related field.

• 46+ years of hands-on experience in data science, analytics, or machine learning.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
• 3+ years of Data Science or related work experience.

*Completed advanced degrees in a relevant field may be substituted for up to two years (Masters = one year, Doctorate = two years) of work experience.