Senior Lead GenAI Data Scientist

About this role:

Wells Fargo is seeking Senior Lead GenAI Data Scientist role as part of the 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. The successful candidate will lead model development for projects/programs and guide a team of data scientists and collaborate with business and technology partners to drive end-to-end solution design and development for implementing virtual assistants, content generation, agentic frameworks, and others for improving employee/customer experience, driving operational efficiencies, and mitigating risks. Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• 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

Required Qualifications:

• 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

Desired 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 (Google Cloud Platform) 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

Job Expectations:

• Ability to travel up to 10% of the time
• This position offers a hybrid work schedule

Posting Location(s):

• 401 S Tryon St - Charlotte, North Carolina, 28202
• 150 E 42nd St. - New York, New York 10017
• 333 Market St. - San Francisco, California 94105

Required location(s) listed.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$173,300.00 - $359,900.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• 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

Posting End Date:

12 Nov 2024
*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.