Senior Data Science Consultant

This role is for Deposit Product Analytics team within CDAI team and you will be responsible to analyze and transform data into actionable insights for enhanced engagement and experience. Leveraging data engineering, descriptive analysis & advanced analytics to drive strategic decision making and empowering businesses to cultivate lasting relationships to drive growth through a deep understanding of customer behavior across Lines of Business (LOBs).

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

Desired Qualifications:

• 4+ years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and/or Data Science  

• 2-3 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 and loading routines using SQL, Teradata, database structures and data warehouses.  

• Proficient in SQL, SAS/Python/PySpark for data analysis  

• 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.

• Languages: 4+ years in SQL & 3+ years in Python, SAS/R, PySpark

• BI Tools: 3+ years in Tableau (preferred) and/or Power BI (exposure to Alteryx is good to have)

• Financial services experience

• Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.