below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$162,000–$220,937.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
29 open roles
on FindRole.
Listed pay typically runs
$119,000–$224,000
across 12 roles with salary data.
The Senior Lead Data Science Consultant, Cards and Personal Loans Decision Sciences, joins the Cards and Personal Loans team to lead analytical work for marketing models. This role serves as the business-side owner for machine learning models, translating strategic priorities into modeling requirements and analytical plans. You will partner with the Modeling Center of Excellence to guide model development, evaluate internal and external data sources for quality and stability, and engineer features to improve predictive performance and explainability. Key responsibilities include conducting advanced analytics, monitoring model performance, and communicating complex findings to stakeholders. Required skills include a Master’s degree in a quantitative discipline and proficiency in SQL and Python. The role addresses consumer lending problems by aligning data and model solutions with marketing, risk, and business outcomes.
Translate business strategic objectives into well-defined modeling requirements and measurable analytical plans.
Serve as the business owner for machine learning models supporting Cards and Personal Loans products.
Evaluate internal and external data sources for quality, relevance, stability, and suitability for modeling.
Design, develop, test, and refine features to improve predictive performance and business value.
Lead exploratory and advanced analysis to quantify the incremental value of new data sources.
Analyze model performance to identify trends, investigate underlying drivers, and recommend remediation actions.
Communicate complex analytical findings and technical tradeoffs to both technical and nontechnical senior stakeholders.
What we're looking for
7+ 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.
Advanced proficiency with SQL and intermediate or advanced proficiency with Python (preferred).
Experience in consumer lending analytics, with a strong preference for Cards experience across marketing, acquisition, risk, or portfolio management (preferred).
Experience leading business requirements, implementation, monitoring, or enhancement of machine learning models for consumer lending products (preferred).
Experience translating business strategies into modeling requirements and analytical approaches while partnering with data scientists (preferred).
Experience evaluating large, complex data sources for quality, coverage, stability, and incremental predictive value (preferred).
Experience designing and engineering high-value features for model development and production use (preferred).
Python
AWS
Spark
H2O
Conda
Scala
R
Machine Learning
Relational Databases
Deep Learning
Time Series
Sentiment Analysis
Clustering
Classification
Statistical Modeling
Big Data
Python
AWS
Spark
H2O
Scala
R
Machine Learning
Relational Databases
Conda
Deep Learning
Time Series
Sentiment Analysis
Clustering
Classification
Statistical Modeling
Big Data
Python
AWS
Spark
H2O
Conda
Scala
R
Machine Learning
Relational Databases
Deep Learning
Time Series
Sentiment Analysis
Clustering
Classification
Statistical Modeling
Big Data