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About this role:

Wells Fargo is seeking a Lead Data Science Consultant, focused on the delivery of advanced analytics to identify resiliency risks, gaps, and performance insights across resiliency programs. This individual will translate complex data into clear, actionable insights to inform senior leadership decisions and strategy. They will also build models and run analyses to improve resiliency outcomes (e.g., risk identification, scenario impacts, service stability). The successful candidate will be inquisitive and have the ability to think outside of the box with a risk-based mindset.

In this role, you will:

o Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning

o Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors

o Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives

o Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor

o Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains

o Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies

o Provide consultation to peers on data science best practices, methods, and tools to leverage

o Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Required Qualifications:

o 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

o Minimum 5+ years of industry experience in developing Machine Learning and Statistical Models from idea generation to objective formulation to implementation and deliverables

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

o Proven industry experience in natural language processing and text mining

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

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

o Practical knowledge of Retrieval-Augmented Generation (RAG), embeddings/vector search, document extraction tools (Azure Document Intelligence, Textract, DocAI), LangChain/LlamaIndex, and production MLOps.

o Strong SQL experience

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

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

o Experience in GenAI/LLM (Claude, Gemini, and Llama 3.x)

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

o Ability to effectively form stories through data analysis

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

o Excellent verbal, written, and interpersonal communication skills

o Ability to manage multiple projects simultaneously

Job Expectations:

• This position offers a hybrid work schedule with 3 days in office and 2 days remote.
• This position is not eligible for Visa sponsorship.
• Ability to travel up to 10% of the time.

Work Locations:

Charlotte, North Carolina

Bloomington, Minnesota

West Des Moines, Iowa

Phoenix, Arizona

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

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

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. 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.

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.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability 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.