About this role:
Wells Fargo is seeking a Data Science Consultant.
In this role, you will:
Required Qualifications:
Desired Qualifications:
Job Expectations:
Wells Fargo is seeking a Data Science Consultant.
In this role, you will:
- Participate in low to moderately complex initiatives by utilizing data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights or recommendations
- Review and analyze business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations
- Exercise independent judgment to guide medium risk business hypothesis generation
- Present recommendations and insights for resolving low to moderately complex business needs and problems; exercise independent judgment while developing an expertise in analytic capabilities
- Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns
- Conduct low to moderately complex predictive analytics to build actionable insights and recommendations
- Design and apply algorithms to mine large sets of structured and unstructured data from various sources
- Ensure data completeness, accuracy, and uniformity through cleaning and validation
- Interpret and analyze data, using advanced analytics modeling methods and programming, to isolate patterns that lead to recommendations to solve problems and influence business decisions and strategies
Required Qualifications:
- 2+ 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:
- Experience working within the Home Lending or mortgage domain, with an understanding of related business processes, metrics, and operating models.
- Experience developing or supporting capacity forecasting, productivity, or workforce optimization models.
- Experience working in call center or contact center analytics, including volume forecasting, staffing models, or performance analytics.
- Familiarity with applying analytics to operational decision-making in areas such as fulfillment, servicing, or customer support.
- Prior experience partnering closely with business stakeholders to influence outcomes through analytics-driven insights.
Job Expectations:
- Demonstrate strong ownership of assigned analytics deliverables, ensuring timely, high-quality outputs that meet defined business requirements and analytical standards.
- Apply sound analytical judgment and problem-solving skills to independently progress work, escalate risks appropriately, and adapt approaches as new information emerges.
- Partner effectively with peers and stakeholders by proactively communicating progress, insights, and recommendations in a clear and concise manner.
- Maintain high standards of data quality, documentation, and reproducibility across analyses, models, and reporting assets.
- Continuously build technical and domain expertise by learning new tools, techniques, and business concepts, and applying them to improve analytical outcomes.
Top Skills
Algorithms
Data Analytics
Data Modeling
Predictive Analytics
Python
R
SQL
Statistical Techniques
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