CIB Lead Data Scientist

About this role:

Wells Fargo is seeking a Lead Data Scientist to join our Corporate and Investment Banking (CIB) Data Management Team to help tackle our toughest and most exciting data science challenges across multiple divisions of CIB.

This is a unique and innovative opportunity to leverage strong analytical skills and expertise in Machine Learning, NLP, and GenAI to extract insights from complex datasets and drive data-driven decision-making across Wells Fargo CIB business units. The ideal candidate will engage business stakeholders at the most senior level and collaborate with cross-functional teams to build and deploy descriptive, predictive, and generative capabilities to uncover actionable business insights.

In this role, you will:

• Collaborate with CIB stakeholders to develop an understanding of needs from data science perspective.

• Identify relevant data sources, then perform data cleaning and analysis of large data sets needed by the AI/GenAI/ML Models.

• Carry out the preprocessing of structured and unstructured data to be used for analysis.

• Identify and recommend analysis of data quality or integrity issues.

• Perform feature engineering, extracting signals needed by the Models.

• Collaborate with the Data Science team to build AI/GenAI/ML Models

• Present results in a clear manner

• Propose solutions and strategies to tackle data science challenges.

Required Qualifications:

• Extensive years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Masters degree in Computer Science, Mathematics, Statistics, Physics, Engineering or other relevant technical Fields

• Extensive years of industry experience in developing Machine Learning and Statistical Models from idea generation to objective formulation to implementation and deliverables with application to Investment Banking

• Proven industry experience in natural language processing and text mining

• Strong understanding of statistical analysis, hypothesis testing, and experimental design

• Proficient in programming languages commonly used in data science (Python, R, Spark, etc.)

• Strong SQL experience

• Strong problem solving and decision-making skills with attention to detail and accuracy

• Ability to effectively form stories through data analysis

• Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important

• Excellent verbal, written, and interpersonal communication skills

• Ability to manage multiple projects simultaneously

• Working experience with Visualization tools using PowerBI and/or Tableau

• Expertise in developing and deploying distributed ML Models on a cloud environment

• Experience in GenAI/LLM

Posting End Date: 

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

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.