Senior Data Science Consultant

About the role

Wells Fargo is seeking a Senior Data Science Consultant responsible for leveraging advanced data analytics to solve complex business challenges and influence enterprise-wide strategies.

Responsibilities

• Develop and deliver advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.
• Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
• Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
• Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
• Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
• Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
• Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
• Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
• Build executive‑ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
• Clearly communicate complex analytical concepts to non‑technical audiences using data storytelling and visualizations.
• Respond to ad hoc leadership requests with concise, high‑impact analyses and recommendations.
• Collaborate with cross‑functional partners (Analytics, Banking, Risk, Operations, Technology).
• Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
• Act as a trusted analytics advisor to stakeholders across the organization.

Requirements

• 4+ years of data science experience, or equivalent demonstrated through work experience, training, military experience, or education.
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.

Qualifications

• Master’s degree (MBA, MS, or equivalent) in Analytics, Data Science, Business, or related discipline.
• Experience in banking, financial services, customer analytics, or coverage/placement models.

Skills

• Proficiency in SQL, Python, R, or similar analytical tools.
• Experience developing dashboards or standardized reporting for leadership.
• Familiarity with governance, risk, or compliance considerations in analytics.

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

Pay

$119,000.00 - $187,000.00 base pay range; eligible for incentive opportunities based on performance, skills, experience, or work location.

Schedule

Hybrid work schedule. This position is not eligible for Visa sponsorship. Relocation assistance is not available for this position.