Bank Of America Assistant Vice President Data Scientist 

United States, North Carolina, Charlotte 

943529297

Responsibilities:

• Enable analysis, modeling, and optimization through producing information products.

• Support the creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

• Support creation of systems that overcome issues of complex data as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights.

• Develop graph/network data models to perform network analysis on transaction data to deliver business insights.

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

• Utilize Python to develop, deploy and maintain predictive models.

• Implement graph theory algorithms and perform network analyses on large volumes of transaction and credit data.

• Use advanced data analysis techniques including text mining and Natural Language Processing (NLP) to curate data and solve business problems.

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

• Create data mining, data processing and data analytical and visualization tools using Python and Tableau to gain business insight from the data.

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

Required Skills & Experience:

• Master's degree or equivalent in Mathematics, Statistics, Data Science, and Business Analytics 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 analysis and data engineering;

• Utilizing Python to develop, deploy and maintain predictive models;

• Implementing graph theory algorithms and perform network analyses on large volumes of transaction and credit data;

• Using advanced data analysis techniques including text mining and Natural Language Processing (NLP) to curate data and solve business problems;

• Implementing advanced high-performance Python code for largescale distributed computing environments using multiprocessing in Python; and,

• Creating data mining, data processing and data analytical and visualization tools using Python and Tableau to gain business insight from the data.

• 10% domestic or international travel, as required.

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)