Data Science Associate

Wells Fargo

. Participate in low complexity data science initiatives using advanced analytical and statistical techniques to identify trends, diagnose problems, and develop recommendations for branch network staffing .

Posted 10/13/2026full-timeUnited StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and statistical techniques to derive actionable insights for business decisions. Proficient in utilizing programming languages and tools to clean, validate, and analyze data effectively.

Highest-signal resume keywords

Data Science ExperienceSQL ProficiencyPython ProgrammingStatistical AnalysisData Cleaning and Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesQuantitative TechniquesAdvanced Analytics ModelingData Mining

Soft Skills

CollaborationProblem Solving

Tools & Technologies

SASR

Industry Keywords

Branch StaffingProductivity AnalysisCustomer TrendsOperationalized Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Participate in low complexity data science initiatives using advanced analytical and statistical techniques to identify trends, diagnose problems, and develop recommendations for branch network staffing
Analyze business, operational, and technical challenges and convert data into meaningful insights
Develop analytics capabilities addressing branch staffing, productivity, and customer trends
Collaborate with managers, functional colleagues, and stakeholders to understand needs and requirements
Build operationalized analytics tools and platforms
Apply algorithms and programming knowledge to mine structured and unstructured data
Clean and validate data for accuracy and uniformity
Interpret data using advanced analytics modeling methods and programming to identify patterns, solve problems, and influence business decisions

Requirements

What you’ll need

6+ months of data science experience, or equivalent demonstrated through work experience, training, military experience, or education
6+ months of experience using SQL, Python, SAS, R, or similar tools to extract, manipulate, and analyze data
6+ months of experience applying analytical, statistical, or quantitative techniques to solve business problems
Ability to travel up to 10% of the time
Position is not eligible for Visa Sponsorship

Benefits

Comp & perks

Ability to travel up to 10% of the time
Hybrid work schedule with 3 days a week in office