Assistant Vice President Data Scientist
Assistant Vice President Data Scientist
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Job Description
Job Description:
At Bank of America we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients teammates communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. Were devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical emotional and financial wellbeing.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multifaceted approach for flexibility depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn grow and make an impact along with the power to make a difference. Join us!
Responsibilities
Perform deep analytics using large data and exploratory modeling.
Work with experts on process and data to provide clean wellstructured 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 highperformance Python code for largescale 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
Masters 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 largescale 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 at or email your resume to and reference the job title of the role and requisition number.
EMPLOYER: Bank of America N.A.
Shift:
1st shift (United States of America)Hours Per Week:
40Required Experience:
Chief
Employment Type
Full-Time
