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Lead Data Science Consultant

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, New York

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

139000.00 - 260000.00 USD / Year

Job Description:

Wells Fargo is seeking a Lead Data Science Consultants in Consumer & Small Business Banking providing coverage for Branch Banking, Chief Customer Office, CSBB Control, CSBB Diverse Customer Segments, CSBB Operations, CSBB Strategy & Transformation, Consumer Marketing, Deposit Products Group, and Small Business.

Job Responsibility:

  • Drive business impact by collaborating with cross-functional teams (MarSci, Finance, Data Product, and Analytics Infrastructure) to create compelling executive reporting
  • Develop and implement innovative marketing strategies and present complex data and insights to senior leadership to influence key decisions and achieving business objectives
  • Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
  • Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
  • Make decisions in complex and multi-faceted situations requiring expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
  • Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals
  • may lead projects, teams or serve as a peer mentor
  • Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
  • Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
  • Provide consultation to peers on data science best practices, methods, and tools to leverage
  • Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Requirements:

  • 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
  • Proficiency in Python or R, Structured Query Language (SQL) or other statistical programming languages
  • Demonstrated history building data pipelines and using Tableau to create dashboards
  • Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams
  • Experience leading complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
  • Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources
  • Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines
  • Strong analytical skills, with experience using data and insights to inform marketing decisions
  • Strong written and verbal communication skills
What we offer:
  • 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

Additional Information:

Job Posted:
August 07, 2025

Expiration:
August 20, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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