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Data Scientist I

Charlotte, North Carolina

Job Description:

Bank of America is seeking a Data Scientist to join our Chief Data Science Organization within Global Risk Management

Key Responsibilities 
•    Design, build, test and maintain huge data stores (files, tables on Teradata or Hadoop or UNIX file system)
•    Tell the story about the data, including basic statistics 
•    Research opportunities for data acquisition and new uses for existing data
•    Develop data that is useful for other analysts 
•    Provide data that are friendly, trustworthy and high quality
•    Employ a variety of languages and tools to marry systems together
•    Recommend ways to improve data reliability, efficiency and quality
•    Collaborate with data architects, modelers and team members on project goals
•    Document and teach about the data (metadata, logical models, source to target mapping)


Required Business Skills for Data Engineers
•    Creative Problem-Solving: Approach data organization challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
•    Effective Collaboration: Carefully listen to business partners, analysts, and data architects to establish their needs.
•    Financial Knowledge: Understand basic banking processes and products. Deep knowledge of one area preferred. Understand policies and processes about how data can be collected, analyzed and utilized.
•    Discipline and Organization: Apply structure and order to communication and documentation and change management for CDSO data products. Minimize risk by following best practices for data management.

Required and desired qualifications:

    Degree demonstrating training and experience in data design and use (e.g., Information Science, Information Technology, Information Systems, Computer Science, Statistics, Finance, Economics, Operations Research)
•    2+ years of related work experience, such as data mining, or exceptional academic background 
•    SQL 
•    Accessing data on Hadoop
•    Logical data modeling
•    Information architecture 
•    Strong attention to detail 
•    Basic statistical analysis
•    Software Engineering 
•    SharePoint Content Creation
•    Microsoft Office (Excel, Word, Powerpoint,Visio)
•    5+ years of experience in data analysis and design
•    SAS skills
•    Agile Methodology and Artifacts

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Bank of America is seeking a Data Scientist to join our Chief Data Science Organization within Global Risk Management

Key Responsibilities 
•    Design, build, test and maintain huge data stores (files, tables on Teradata or Hadoop or UNIX file system)
•    Tell the story about the data, including basic statistics 
•    Research opportunities for data acquisition and new uses for existing data
•    Develop data that is useful for other analysts 
•    Provide data that are friendly, trustworthy and high quality
•    Employ a variety of languages and tools to marry systems together
•    Recommend ways to improve data reliability, efficiency and quality
•    Collaborate with data architects, modelers and team members on project goals
•    Document and teach about the data (metadata, logical models, source to target mapping)


Required Business Skills for Data Engineers
•    Creative Problem-Solving: Approach data organization challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
•    Effective Collaboration: Carefully listen to business partners, analysts, and data architects to establish their needs.
•    Financial Knowledge: Understand basic banking processes and products. Deep knowledge of one area preferred. Understand policies and processes about how data can be collected, analyzed and utilized.
•    Discipline and Organization: Apply structure and order to communication and documentation and change management for CDSO data products. Minimize risk by following best practices for data management.

Required and desired qualifications:

    Degree demonstrating training and experience in data design and use (e.g., Information Science, Information Technology, Information Systems, Computer Science, Statistics, Finance, Economics, Operations Research)
•    2+ years of related work experience, such as data mining, or exceptional academic background 
•    SQL 
•    Accessing data on Hadoop
•    Logical data modeling
•    Information architecture 
•    Strong attention to detail 
•    Basic statistical analysis
•    Software Engineering 
•    SharePoint Content Creation
•    Microsoft Office (Excel, Word, Powerpoint,Visio)
•    5+ years of experience in data analysis and design
•    SAS skills
•    Agile Methodology and Artifacts

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21076834

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Pamela Salvato

Referral Bonus:

0

Street Address

Primary Location:
800 W TRADE ST, NC, Charlotte, 28255