Lead Data Scientist - Finance & Accounting Automation
Qualcomm · Hyderabad · onsite · Posted 59d ago
Undisclosed4–6 yrsfulltimeSourced from
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About this role
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, andproduction-ready.
- Monitor solution performance, data quality, and model drift; continuously improvemodelspost-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.
- 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 (Masters = one year, Doctorate = two years) of work experience. You may e-mailor call Qualcomm''s toll-free number found.
If you would like more information about this role, please contact .
Sourced from naukri
Skills
data qualityAutomationdata scientistAnalyticsLarge Language Models (LLMs)Anomaly DetectiondeploymentData EngineeringERPInformation TechnologyAccountingAi SolutionsData ValidationfinanceData PipelineData ScienceArtificial IntelligenceMachine Learning
About Qualcomm
Qualcomm
Semiconductors
22k+
employees
1996
30 years old
San Diego,California
United States
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Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.
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