Lead Data Scientist – Branch Banking Analytics

Wells Fargo

Lead Data Scientist in Wells Fargo's Branch Decision Sciences team. Driving analytics for branch banking leaders to improve growth, effectiveness, and productivity.

Posted 7/31/2026full-timeIrving • Iowa, North Carolina, Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced data analysis, KPI optimization, and translating complex data into actionable insights. Proficient in collaborating with cross-functional teams to drive strategic initiatives in financial services and retail banking.

Highest-signal resume keywords

Data Science ExperienceSQL ProficiencyData Visualization ToolsQuantitative AnalysisMaster's Degree in Quantitative Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisKPI OptimizationStatistical ModelingQuantitative TechniquesData Synthesis

Soft Skills

Effective CommunicationRelationship BuildingStorytelling

Tools & Technologies

SQLSASPythonPower BITableau

Industry Keywords

Financial ServicesRetail BankingCustomer AnalyticsBranch PerformanceOperational Efficiency

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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
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.

Benefits

Comp & perks

Ability to travel up to 10% of the time
Hybrid work schedule