Bank Of America Assistant Vice President Data Scientist 

United States, North Carolina, Charlotte 

770962033

Responsibilities

• Perform deep analytics using large data, and exploratory modeling.

• Work with experts on process and data to provide clean, well-structured data for modeling.

• Use statistical analysis and graph/network modeling techniques.

• Deploy models by following enterprise data management and model management policies.

• Prototype, test and iterate throughout the model development lifecycle, with instruction and guidance.

• Research opportunities for data acquisition and new uses for existing data.

• Provide trustworthy and high quality data.

• Utilize SQL to curate large volumes of data, perform statistical data analysis and data engineering.

• Implement advanced high-performance Python code for large-scale distributed computing environments using multiprocessing in Python.

• Use graph theory algorithms to perform network analysis on large volumes of data for risk management.

• Perform data mining, data processing, data analysis and data visualization using SAS, Python and Tableau to gain business insight from the data.

• Utilize data warehousing, data analytics, SQL, SAS, and Python to develop and enhance Risk Data products.

• Design, test, and implement data solutions using Python, SQL, data warehousing, and UNIX shell scripting for building analytical models and tools.

• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience

• Master's degree or equivalent in Engineering (any), Computer Science, Statistics, Mathematics, or related: and

• 2 years of experience in the job offered or a related Quantitative occupation.

• Must include 2 years of experience in each of the following:

• Utilizing SQL to curate large volumes of data, perform statistical data analysis and data engineering;

• Implementing advanced high- performance Python code for large-scale distributed computing environments using multiprocessing in Python;

• Using graph theory algorithms to perform network analysis on large volumes of data for risk management;

• Performing data mining, data processing, data analysis and data visualization using SAS, Python and Tableau to gain business insight from the data;

• Utilizing data warehousing, data analytics, SQL, SAS, and Python to develop and enhance Risk Data products; and,

• Designing, testing, and implementing data solutions using Python, SQL, data warehousing, and UNIX shell scripting for building analytical models and tools.

• 10% domestic and international travel required, as necessary.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.

1st shift (United States of America)