Lead Data Scientist – Finance & Accounting Automation

Responsibilities

• Design, build, deploy, and maintain AI/ML solutions for Record to Report (R2R) use cases, including anomaly detection and predictive analytics
• Develop Python-based data pipelines for ERP and finance data sources
• Build and maintain ML models, LLM-powered tools, or AI agents to augment R2R productivity
• Ensure all solutions are scalable, explainable, well-documented, and production-ready
• Monitor solution performance, data quality, and model drift to ensure continuous improvement
• Partner with Enterprise AI, IT, and Data Platform teams for seamless integration and deployment
• Align all technical solutions with security, infrastructure, and architectural standards

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related field
• 4–6+ years of hands-on experience in data science, analytics, or machine learning
• 6+ years of professional experience in Finance, Accounting, or a related field
• Strong proficiency in Python and common data science libraries
• Proven experience building, training, and deploying ML models or AI solutions
• Strong analytical thinking and complex problem-solving skills

About the Company

Qualcomm is a global leader in wireless technology, dedicated to inventing the future of connectivity. We hire the brightest minds and foster a supportive, inclusive culture where your ideas contribute to world-changing innovations and breakthrough technologies.