Lead Data Scientist – Finance & Accounting Automation

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. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.