Lead Data Scientist - Branch Banking Analytics

About this role: Wells Fargo’s Branch Decision Sciences team within Digital, Data & AI is seeking a Lead Data Scientist to help drive data-informed decisions for branch banking leaders. This role identifies opportunities to improve customer growth, banker effectiveness, branch productivity, and network performance while translating complex analytics into clear, actionable business recommendations. Learn more about the career areas and lines of business at wellsfargojobs.com . In this role, you will: Conduct advanced analysis on branch performance and banker productivity Build and optimize banker and branch-level KPIs, to evaluate performance and activity trends, and identify gaps and opportunities Identify drivers of sales, customer engagement, retention, and operational efficiency Partner with branch stakeholders, finance, and product teams to execute on strategy Influence cross-functional stakeholders and partners Lead moderately complex analytics initiatives independently, using complex large structured and unstructured data sets from various sources Design experiments and measurement frameworks to quantify business outcomes. Synthesize complex data into clear, actionable insights and recommendations, and communicate effectively through compelling executive-level storytelling, high-quality presentations, data visualizations, and impactful dashboards Define analytical approaches rather than only executing them Balance business priorities, statistical rigor, and practical implementation Guide analytic best practices across the team Required Qualifications:   5+ years of data science 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 Desired Qualifications: Experience applying quantitative and analytical techniques to identify trends, solve business problems, and inform decision-making Proficiency in SQL, SAS, Python; moderate statistical modeling is a plus Working knowledge of data visualization tools, preferably Power BI or Tableau Experience with business performance analytics and KPI development. Financial services, retail/branch banking, or customer analytics experience Ability to translate complex data into clear, compelling narratives and build productive working relationships across business and technical teams Job Expectations: Ability to travel up to 10% of the time. This position offers a hybrid work schedule. This position is not eligible for Visa sponsorship. Posting Location(s):                                            401 Las Colinas Blvd. Bldg B – Irving, Texas 752039 800 S Jordan Creek Pkwy – West Des Moines, Iowa 50266 401 S Tryon St. – Charlotte, North Carolina 28202 Required locations listed.   Posting End Date:   13 Aug 2026 *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