Senior Data Science-Consultant

Job Description

About the 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, 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

• 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

• Knowledge and understanding of fraud detection process in banking.
• BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics.
• Strong analytical skills with high attention to detail and accuracy.
• Model development or model monitoring experience.
• 3+ years of SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience.
• Demonstrated experience with statistical modelling techniques and AI-ML techniques.
• Ability to create documentation of process flows, business analysis and metadata.
• Experience in Financial services or knowledge of consumer/retail financial products.
• Strong analytical skills with high attention to detail and accuracy.
• Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously.
• Possesses a strong work ethic and thrives in a collaborative team environment.
• Excellent verbal, written, and interpersonal communication skills and demonstrable strong presentation skills.
• Engage with cross culture team members and stake holders.
• Experience working on BI Tools like QlikView or Tableau.
• Experience with MS Office Suite (PowerPoint, Excel, Word).

Role Category: Data Science & Analytics - Other

Education

PG: Any Postgraduate