About The Position

The Senior AI Scientist owns complex finance and accounting problems end-to-end: framing ambiguous challenges, diagnosing root causes using data, and designing and deploying AI-enabled solutions that simplify processes, reduce manual effort, improve decision quality, and meet control and compliance requirements. This role is intentionally balanced—approximately 50% focused on business problem solving and analytical reasoning, and 50% on hands-on data analysis, AI development, and automation delivery. This role requires full-time onsite work in San Diego, CA (5 days per week). This position is not eligible for Qualcomm immigration sponsorship.

Requirements

  • Bachelor's degree in Business, Engineering, Operations, or related field and 2+ years of related business process analysis experience.
  • OR Associate's degree in Business, Engineering, Operations, or related field and 4+ years of related business process analysis experience.
  • OR High School Diploma or equivalent and 5+ years of related business process analysis experience.
  • Bachelor’s or Master’s degree (MS preferred) in Finance, Accounting, Computer Science, AI/ML, or related field.
  • Strong structured problem-solving and analytical reasoning skills.
  • Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, LangChain).
  • Experience with AI-driven automation platforms (n8n or similar).
  • Strong finance/accounting business acumen and ERP experience.

Nice To Haves

  • Finance or accounting process improvement experience.
  • Knowledge of payroll, equity, or compensation accounting.
  • Experience designing compliant, explainable AI solutions.

Responsibilities

  • Frame complex finance and accounting problems into clear problem statements, constraints, success metrics, and decision criteria.
  • Diagnose root causes using structured problem-solving techniques and data analysis.
  • Quantify opportunities and risks through baseline metrics and analytical models.
  • Evaluate solution options (process change, rules-based automation, analytics, AI) and recommend the optimal approach.
  • Translate analytical findings into clear, executive-ready insights and recommendations.
  • Design, build, and deploy AI/ML solutions including LLMs and AI agents.
  • Develop Python-based data pipelines for enterprise finance systems.
  • Implement AI-driven automation using n8n or similar platforms.
  • Integrate solutions with Oracle, SAP, Workday, ADP, and equity systems.
  • Monitor model performance, drift, and business outcomes.
  • Drive adoption through training, documentation, and hands-on enablement.
  • Promote self-service AI capabilities for finance users.
  • Build dashboards to track performance, adoption, and impact.

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.
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