Senior Data Science Consultant

About this role:

Wells Fargo is seeking a...

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

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

Required Qualifications for Europe, Middle East & Africa only:

• Experience in data science, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 4-8 years of experience in Data Analytics, Insight Generation and/or Data Science
• 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstratable experience of delivering strategic insights and recommendations.
• Languages: SQL, Python, SAS/R, PySpark
• BI Tools: Tableau/ Power BI/ Excel
• Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis
• Experience of working with Machine learning techniques - Segmentation, Regression, Decision Trees, Forecasting, Clustering
• Financial services experience
• Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.
• Strong conceptual and quantitative problem solving skills
• Excellent written and oral communication skills, and interpersonal skills.
• Tenacity and persistence to ensure compliance with tight deadlines

Job Expectations:

Posting End Date:

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.