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Senior Data Science Consultant

1 month ago

Bengaluru, Karnataka, India WELLS FARGO BANK Full time
About this role:

Wells Fargo is seeking a Senior Data Science Consultant to join our Deposit Product Analytics team within CDAI. As a key member of our team, you will be responsible for analyzing and transforming data into actionable insights to enhance engagement and experience. Leveraging data engineering, descriptive analysis, and advanced analytics, you will drive strategic decision-making and empower businesses to cultivate lasting relationships to drive growth through a deep understanding of customer behavior across Lines of Business (LOBs).

Key Responsibilities:
  • Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as a key participant in large-scale planning
  • Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
  • Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
  • Strategically collaborate and consult with peers, colleagues, and mid-level to senior 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 peer mentor
  • Execute complex 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
  • Provide consultation to peers on data science best practices, methods, and tools to leverage
  • Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Requirements:
  • 5+ 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

Preferred Qualifications:
  • 5+ years of experience in Data Analytics, Insight Generation, and/or Data Science
  • 4+ 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
  • Master'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 leading a team of Data Analysts/Engineers, providing guidance and vision in solutioning business problems, mentoring, and coaching junior team members
  • Languages: SQL, Python, SAS/R, PySpark
  • BI Tools: Tableau (preferred)/Power BI
  • Good knowledge of data engineering principles, analyzing complex data sets to identify trends, opportunities, and challenges, and communicate insights effectively to a diverse set of stakeholders
  • Exposure to Machine learning techniques - Segmentation, Regression, Decision Trees, Forecasting, Clustering
  • Financial services experience
  • Highly organized and proactive. Should be able to manage multiple tasks in a dynamic environment and deal with multiple priorities