Sr. Lead Data Analyst/Data Scientist

Key Skills

Java Programming, Leadership, Design, Python Programming, SQL, Azure, Apache Hadoop, Machine learning techniques, Data science techniques, A/B Testing, Data Visualization, SPARK Programming, Statistical modeling, Data Analysis

Job Description

Wells Fargo is seeking a seasoned Data Analyst/Scientist within the Consumer Lending Organization, this role collaborates with business and technology stakeholders in the development of new insights, decision strategies, and implementation of new data capabilities to support business objectives. This is an exciting opportunity to work across the CCS (Consumer Collection Servicing) Business and drive the organization's adoption of modern Data Platform, Advanced Analytics, and Machine Learning capabilities.

In this role, you will:

• Advise experienced leadership to develop or influence statistical modeling, analytical strategies, and advanced data visualization for complex business and technical needs
• Enable data analysis, modeling, and optimization through strategic design and production efforts
• Apply data science and modeling techniques to drive data driven decision making and solve complex business problem
• Design and lead complex projects, analyses, and application of techniques across the enterprise
• Provide vision, direction, and expertise to leadership on implementing innovative and significant business solutions that align to the enterprise
• Partner with business and tech stakeholders to identify the critical data needs and map them to key customer experiences. Data involved typically very large, structured or unstructured, and from multiple sources.
• Lead or participate in new data/analytics capabilities and tool evaluations

Required Qualifications:

• 7+ years of Analytics and Reporting, Financial Modeling, Statistics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 4+ years of relevant work experience in data science and research or related field
• Experience designing and developing technical and functional prototype to uncover business questions, validate use cases and capture key requirements.
• Efficiency in at least one scripting language such as Python, and in one query language such as SQL to query, manipulate and validate data across multiple domains
• Experience using relevant statistical and machine learning methods for building predictive models
• Experience designing and executing AB/Multivariate testing, causal inference, classification, decision making, and metrics deep dive
• Expertise with large scale analytics technologies such as Hadoop and Spark preferred
• Excellent verbal, written, and interpersonal communication skills
• Experience with Cloud (Google, Azure, etc.) capabilities and applying them to Data and Analytics
• Previous credit card data/financial products analytical experience

Job Expectations:

• Up to 20% travel as needed