Lead Data Science Consultant

Wells Fargo•Bloomington, MN

6d•$139,000 - $239,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Minimum 5+ years of industry experience in developing Machine Learning and Statistical Models from idea generation to objective formulation to implementation and deliverables
Masters degree in Computer Science, Mathematics, Statistics, Physics, Engineering or other relevant technical Fields
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.)
Practical knowledge of Retrieval-Augmented Generation (RAG), embeddings/vector search, document extraction tools (Azure Document Intelligence, Textract, DocAI), LangChain/LlamaIndex, and production MLOps.
Strong SQL experience
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 (Claude, Gemini, and Llama 3.x)
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

Responsibilities

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
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
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
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
Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
Provide consultation to peers on data science best practices, methods, and tools to leverage
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels