Lead Data Scientist - Global Payments & Liquidity

Join our Global Payments & Liquidity (GPL) team as a Vice President-level Lead Data Scientist, where you'll shape the future of data-driven decision-making in one of the most dynamic areas of financial services. This is a high-impact leadership role for an innovative thinker who thrives on solving complex problems and delivering scalable solutions that transform customer experiences and accelerate business growth.
What You'll Do

• Drive Strategy Through Data: Partner with senior business leaders to translate strategic priorities into actionable data science initiatives that influence product innovation and customer engagement.
• Lead Advanced Modeling: Design and implement sophisticated machine learning and deep learning models, leveraging cutting-edge statistical techniques to uncover insights and predict outcomes.
• Architect Scalable Solutions: Collaborate with data engineering teams to ensure robust, secure, and production-ready deployment of analytics solutions across cloud platforms.
• Champion Data Excellence: Establish and enforce best practices for data quality, governance, and reproducibility, ensuring models meet the highest standards of accuracy and transparency.
• Communicate Impact: Present complex findings in a clear, compelling way to both technical and non-technical stakeholders, driving informed decisions at the executive level.

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
• 5+ years experience in Python and SQL
• 1+ years experience in leadership or mentorship of more junior team members
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Preferred Qualifications

• Expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with NLP or predictive modeling.
• Prior experience supporting Agile product teams in a corporate environment.
• Familiarity with banking products, transaction services, and working capital solutions.
• Knowledge of cloud platforms (AWS, Azure) and data visualization tools (Power BI, Tableau).

Why Join Us?

• Influence strategic decisions at the intersection of data science and global payments.
• Work on high-visibility projects that shape the future of financial technology.
• Competitive compensation and relocation support for candidates outside Charlotte, NC.

Posting End Date:
30 Jan 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.
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