Lead Data Scientist - Finance & Accounting Automation

Job description

**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.