Wells Fargo
Financial Services
DataScienceConsultant
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Science Consultant at Wells Fargo. Skills: Data science, Predictive analytics, Statistical modeling. Utilize advanced analytical techniques. Identify trends”
What You'll Achieve.
Timely outputs; High-quality outputs; Meet business requirements; Meet analytical standards
Industry & Context.
Problem-solving skills; Analytical judgment
What They're Looking For.
Must Have
2+ years of data science experience, Master's degree or higher in a quantitative discipline
Nice to Have
Experience in Home Lending or mortgage domain, Experience developing capacity forecasting models, Experience developing productivity models, Experience developing workforce optimization models, Experience in call center analytics, Familiarity with applying analytics to operational decision-making, Prior experience partnering with business stakeholders
What You'll Do.
Utilize advanced analytical techniques
Build actionable insights
Build recommendations
Analyze business assignments
Analyze operational assignments
Analyze technical assignments
Research alternatives
Evaluate alternatives
Convert data into insights
Convert data into recommendations
Generate business hypothesis
Present recommendations
Resolve business needs
Consult with functional colleagues
Consult with internal partners
Consult with stakeholders
Drive recommendations
Conduct predictive analytics
Mine unstructured data
Ensure data completeness
Ensure data uniformity
Influence business decisions
Influence business strategies
How You'll Work.
Team & Collaboration
Functional colleagues; Internal partners; Stakeholders; Business stakeholders; Peers
Full Job Description
**About this role:** 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 opera
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