Data Science Consultant
1 month ago
Wells Fargo is seeking a highly skilled Data Science Associate to join the Advanced Data and Analytics Program (ADAP). ADAP is a project-based rotational program that would develop and execute actionable, data-driven analytical solutions through long and short-term engagements across various consumer businesses and priorities.
Key Responsibilities:
- 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
Requirements:
- 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
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