Data Scientist – Finance & Accounting Automation

Qualcomm • San Diego, CA

4d • $46 - $69

About The Position

We are looking for a visionary data scientist to lead the transformation of finance and accounting operations through intelligent automation. This role combines deep technical expertise with strong business acumen to simplify processes, reduce manual effort, and accelerate AI adoption across the organization. You will design and deploy AI systems—including AI agents, and Model Context Protocols (MCP)—that automate complex workflows and empower teams through self-service tools, training and extensive change management.

Requirements

• Bachelor’s or Master’s degree (MS preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related fields.
• 3+ years of experience building and deploying enterprise level business process improvements and automations, including AI/ML models, workflows, and dashboards.
• Proficiency in SQL
• AI automation and workflow development using N8N or similar tools.
• Understanding of LLMs, AI agents, and context-aware orchestration (e.g., MCP).
• Strong business acumen in finance and accounting, with the ability to map technical solutions to operational goals.
• Experience with ERP systems (e.g., Oracle, SAP) and financial data structures.
• Proficiency in Tableau, Power BI, or similar tools for self-service reporting and visualization.
• Excellent communication and stakeholder management skills.

Nice To Haves

• Experience with Python and Rust a plus.

Responsibilities

• Partner with finance and accounting teams to deeply understand workflows and pain points.
• Translate business needs into technical solutions that simplify and streamline operations.
• Ensure all solutions align with compliance standards and audit requirements.
• Build and deploy AI/ML business solutions (LLMs, agents) and workflows using N8N or similar tools for various finance and accounting tasks such as journal entry automation, reconciliation, forecasting, and anomaly detection.
• Integrate the solution workflow into existing enterprise systems such as Oracle ERP, SAP, Price Management, TM1, and Salesforce
• Develop robust data pipelines to extract, clean, and prepare data from enterprise platforms (Databricks, AWS Redshift, Oracle etc) for AI, and reporting use cases.
• Drive AI and automation adoption by creating training programs and documentation for finance stakeholders.
• Promote the use of self-service AI and automation tools to empower non-technical users.
• Collaborate with IT and operations to leverage and integrate enterprise AI tools into existing systems and processes.
• Build and maintain data pipelines that support real-time and batch AI applications.
• Leverage Tableau, Power BI, and other self-service reporting tools to visualize insights and track automation impact.
• Define KPIs and success metrics for AI initiatives in finance.
• Stay current with advancements in generative AI, agent-based modeling, and enterprise AI governance.
• Present findings and proposals to executive stakeholders and steering committees.

Benefits

• We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees