About this role:
- Wells Fargo is seeking a Senior Data Science Consultant.
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
- Work as technical expert in delivering high quality analytical solution and provide effective business insights
- Research, design and develop end-to-end advanced analytical solution using data solution engineering, ETL design, applying text mining and NLP
- Streamline ETL/data flow structure feeding to different analytical solutions through automation
- Clearly understand and articulate business requirements by leveraging domain understanding of line of business & product/ function and deliver the results underlining the business problem and appropriate business decision levers
- Identify & leverage appropriate analytical approach from a wide toolkit to make data driven recommendation
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+ years of experience in advanced analytics/ data engineering
- Engineering Graduate/ Post-graduate inMaths/Stats/Economics/ComputerScience
- Strong expertise in Python and SAS/SQL is mandatory
- Good to have basic understanding in Text mining/NLP
- Exposure to SAS Viya and Data Lakes/Azure/Big data platforms would be a plus
- Hands on experience in handling end-to-end analytical projects starting from problem structuring, solution design, deep-dive, research and final outcome delivery
- Sound knowledge in project documentation framework
- Must have consultative skills to have the ability to rationalize business need and solution design from business requirements
- Strong written and verbal communication, presentation and inter-personal skills.
- Ability to perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendation to business leaders & partners Ability to interact with integrity and a high level of professionalism with all levels of team members and management
27 Feb 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.