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About the Role
Wells Fargo is seeking a Lead Data Science Consultant to deliver advanced analytics for identifying resiliency risks, gaps, and performance insights. This role translates complex data into actionable insights for senior leadership, builds models, and runs analyses to improve resiliency outcomes.
Responsibilities
- Lead complex initiatives using advanced analytical, statistical techniques, algorithms, or models to generate actionable insights, trends, and recommendations with broad impact.
- Review and analyze complex business, operational, or technical challenges requiring in-depth hypothesis generation and analysis.
- Make decisions in complex situations requiring analytical expertise to resolve abstract business issues and lead work teams.
- Collaborate and consult with peers and management to drive recommendations and strategies based on data-driven insights.
- Execute complex analytical experiments and create innovative statistical models to solve abstract business problems.
- Interpret and analyze data using advanced modeling methods and programming to recommend solutions and influence business decisions.
- Consult with peers on data science best practices, methods, and tools.
- Communicate actionable insights and recommendations in a digestible format to a non-technical audience.
Requirements
- 5+ years of data science experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Minimum 5+ years of industry experience in developing Machine Learning and Statistical Models from idea generation to implementation.
- 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.
- Excellent verbal, written, and interpersonal communication skills.
- Ability to manage multiple projects simultaneously.
- Ability to travel up to 10% of the time.
Skills
- Data Science
- Advanced Analytics
- Statistical Techniques
- Algorithms
- Modeling
- Risk Identification
- Scenario Impacts
- Service Stability
- Natural Language Processing
- Text Mining
- Statistical Analysis
- Hypothesis Testing
- Experimental Design
- Python
- R
- Spark
- SQL
- PowerBI
- Tableau
- Machine Learning
- GenAI
- LLM
- Retrieval-Augmented Generation (RAG)
- Embeddings/Vector Search
- Document Extraction Tools
- LangChain/LlamaIndex
- MLOps
- Cloud Environment
- Problem Solving
- Decision Making
- Data Storytelling
- Teamwork
- Communication
Location
- Charlotte, North Carolina
- Bloomington, Minnesota
- West Des Moines, Iowa
- Phoenix, Arizona
Work Type
- Hybrid
- Full-time
Experience Level
- Lead
- 5+ years
Education Level
- Masters degree in Computer Science, Mathematics, Statistics, Physics, Engineering or other relevant technical Fields
Salary/Compensations
- $139,000.00 - $239,000.00
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
About the Company
- Wells Fargo is an equal opportunity employer.
- 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.
Equal Opportunity
- 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.
- To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
- Wells Fargo maintains a drug free workplace.
- Third-Party recordings are prohibited unless authorized by Wells Fargo.
- Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.