Science Consultantwithin the
(Consumer Data, Analytics and Artificial Intelligence) function.
The work will involve identifying areas for opportunities and growth within each initiative leveraging analytical thinking & rigor to ensure that it correlates back to the overall strategy of the CSBB and the broader enterprise.
In this role, you will:
- Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact
- Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations
- Independently analyze and resolve moderately complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities
- Collaborate and consult with peers, colleagues, and mid-level 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 mentor for lower-level staff
- Execute 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
- Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels
Required Qualifications:
- 4+ 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
Desired Qualifications:
- 4-8 years of experience in Data Analytics, Insight Generation and/or Data Science
- 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstratable experience of delivering strategic insights and recommendations.
- Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
- Experience in data analysis, dataextraction/manipulationand loading routines using SQL, Teradata, database structures and datawarehouses.
- Proficient in SQL, Python, PySpark for data analysis and usage oflibraries
- Highly effective communication skillset: ability to convey results, concepts, and issues/challenges with us and partners / peers and non-technical marketing/business audience through executive ready presentations.
- Experience with statistics and basic statistical modeling techniques (i.e., regression, decision tree, random forest, clustering, segmentationetc.)
- Good Story telling competencies to create new and novel analytics approach or data visualizations to deliver Insights to targetaudience.
- Self-motivated to identify opportunities and propose solutions to business partners.
- Languages: SQL, Python, SAS/R, PySpark
- BI Tools: Tableau/ Power BI/ Excel
- Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis
- Experience of working with Machine learning techniques – Segmentation, Regression, Decision Trees, Forecasting, Clustering
- Financial services experience
- Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.
- Strong conceptual and quantitative problem-solving skills
- Excellent written and oral communication skills, and interpersonal skills.
- Tenacity and persistence to ensure compliance with tight deadlines
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.