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Senior Lead GenAI Data Scientist

2 months ago

Charlotte, North Carolina, United States WELLS FARGO BANK Full time
About this Role

Wells Fargo is seeking a Senior Lead GenAI Data Scientist to join our Consumer Model Development CoE. This role is pivotal in leading the development and implementation of cutting-edge Generative AI (GenAI) and Natural Language Processing (NLP) solutions within the Consumer LOB's - Banking, Lending, and WIM divisions.

Key Responsibilities
  • Lead the design, development, and deployment of GenAI and NLP models for various consumer-facing applications
  • Translate business problems into technical solutions, leveraging advanced GenAI/NLP/ML methodologies
  • Collaborate with cross-functional teams to integrate AI solutions into business processes, ensuring scalability and robustness
  • Provide mentorship and technical guidance to junior data scientists
  • Engage with business stakeholders to communicate insights, model outcomes, and the strategic value of AI initiatives
  • Ensure compliance with regulatory requirements and internal risk management policies
Requirements
  • 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
  • Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
Preferred Qualifications
  • Master's degree in a quantitative field such as Computer or Data Science
  • Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI
  • Strong background in GenAi/NLP, machine learning, deep learning, and statistical analysis
  • Experience in the financial services industry, particularly within consumer banking, lending, wealth and asset management
  • Familiarity with regulatory and compliance considerations in AI model deployment
  • Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong full stack data science skills
  • A track record of published research or patents in AI/ML
Work Environment
  • Ability to travel up to 10% of the time
  • This position offers a hybrid work schedule
Benefits
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement