Senior Data Science Consultant

Job Summary

Wells Fargo is seeking a Senior Data Science Consultant for Wells Fargo Business Analytics Team (Small Business Analytics Team). The role focuses on building and maintaining scalable analytical solutions, enabling data-driven decision-making, and primitive models. Reduce Risk and improve business outcomes. Creation of business strategy via data driven decisions.

Responsibilities

• 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

Desired Qualifications

• 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and Data Science
• 3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstrable experience of delivering strategic insights and recommendations.
• Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
• Experience in data analysis, data extraction/manipulation.
• Strong programming and data skills: Python, PySpark, SQL; experience working with large datasets
• Good to have knowledge on cloud-based environment: GCP, Azure, AWS.
• Proficiency in BI Tools: Power BI, Tableau.
• Proficient with Statistics foundation and modeling concepts.
• Familiarity with Generative AI concepts (LLMs, embeddings, prompt-based systems) for awareness and future collaboration.
• Highly effective communication skillset: ability to convey results, concepts, and issues/challenges with us and partners / peers and non-technical marketing/business audience through executive ready presentations.
• Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.

Job Expectations

• 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.