Lead Data Scientist – Finance & Accounting Automation

Job description

Company

Qualcomm India Private Limited

Job Area

Information Technology Group, Information Technology Group > Data Science General Summary: About the Role 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

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

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 (Master’s = one year, Doctorate = two years) of work experience.

Applicants

Qualcomm is an equal opportunity employer.

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