Lead Data Science Consultant

Wells Fargo

Hybrid (3 days onsite at a wells fargo risk hub)
Advanced analytical techniques
Statistical algorithms or models
Hypothesis generation
Wells Fargo is seeking a Lead Data Science Consultant to leverage advanced analytical techniques to drive actionable insights within the Consumer Lending sector. The role requires extensive experience in data science, strong stakeholder management skills, and proficiency in programming languages such as Python or R

Job Summary

  • 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.
  • Make decisions in complex and multi-faceted situations requiring an 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.

Matching Summary

Match Score: 85

Wells Fargo is seeking a Lead Data Science Consultant to leverage advanced analytical techniques to drive actionable insights within the Consumer Lending sector. The role requires extensive experience in data science, strong stakeholder management skills, and proficiency in programming languages such as Python or R.

Skills & Requirements

Must-have

  • advanced analytical techniques
  • statistical algorithms or models
  • hypothesis generation
  • advanced analysis
  • SQL and advanced analytics using Python or R
  • large, complex datasets
  • Consumer Lending analytics

Nice-to-have

  • stakeholder management and communication
  • model governance, performance monitoring
  • cloud analytics platforms
  • credit risk metrics
  • portfolio analytics
  • global capability center experience

Key Requirements

  • 5+ years of data science experience
  • Advanced degree in Data Science, Statistics, Economics, Engineering, or related field
  • Master's degree or higher in a quantitative discipline

Work Rights

Not specified

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