Senior Data Science Consultant

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 and statistical techniques, algorithms, or models to generate actionable insights, identify trends, provide recommendations, or contribute to large-scale planning with broader impact.
• Review and analyze moderately complex, large structured and unstructured datasets from various sources, requiring 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 the team to meet deliverables while leveraging a solid understanding of analytical 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 help resolve issues and achieve goals; may lead projects or teams or serve as a mentor to 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 solutions to problems and influence business decisions and strategies.
• Communicate actionable insights and recommendations using data in a clear and digestible format to non-technical audiences at 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.
• 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization, and Data Science.
• 3 years of experience working in large banks or financial services organizations, translating business problems into actionable insights, with demonstrable experience delivering strategic insights and recommendations.

Desired Qualifications:

• Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics, computer science, or business, social, and behavioral sciences with a quantitative emphasis.
• Experience in data analysis, data extraction, and data manipulation.
• Strong programming and data skills in Python, PySpark, and SQL, with experience working with large datasets.
• Good to have knowledge of cloud-based environments such as GCP, Azure, and AWS.
• Proficiency in BI tools such as Power BI and Tableau.
• Proficiency in statistical fundamentals and basic modeling concepts, including linear and logistic regression.
• Familiarity with Generative AI concepts, including LLMs, embeddings, and prompt-based systems, for awareness and future collaboration.
• Highly effective communication skills, with the ability to convey results, concepts, issues, and challenges to partners, peers, and non-technical marketing/business audiences through executive-ready presentations.
• Organized and proactive, with the ability to manage tasks in a dynamic environment and handle multiple priorities.

Job Expectations:

• Strong conceptual and quantitative problem-solving skills.
• Excellent written and verbal communication and interpersonal skills.
• Tenacity and persistence to ensure compliance with tight deadlines.