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Data Scientist I

Charlotte, North Carolina

Job Description:

Data Scientist I to discover the information advantage in vast amounts of proprietary data. For this position, we want a Generalist: a person who has desire and ability to learn all parts of the data science process and is willing to develop depth in both data engineering and machine learning.


Data generalists work with experts on process and data to provide clean, well-structured data for modeling. The associate will also use statistical analysis, graph and modeling techniques. This position may deploy models and will need to learn and follow enterprise data management and model management policies. A strong foundation in math is required.


You will partner with more senior team members on feature engineering and full life cycle of modeling. This is a hands-on role from hypothesis to testing and documentation.

Key Responsibilities:

  • Prepare data for analytics including clean, design, move, and test huge data stores (files, tables on Teradata or Hadoop or UNIX file system)
  • Prototype, test and iterate through model development lifecycle, with instruction and guidance
  • Research opportunities for data acquisition and new uses for existing data
  • Provide data that are friendly, trustworthy and high quality
  • Employ a variety of languages and tools to marry systems together
  • Perform tasks of data wrangling and feature engineering
  • Recommend ways to improve data reliability, efficiency and quality
  • Individual contributor role practicing and enabling data science at Bank of America

Creative Problem-Solving: Approach data and modeling challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time, machine and human resources.
Effective Collaboration: Carefully listen to business partners, analysts, and other modelers to establish requirements and ensure proper representation of information for models.
Discipline and Organization: Apply structure and order to communication and documentation for CDSO data products and Model Management. Minimize risk by following best practices.
Listen and Learn: Listens to experts, has a curious and exploring nature, continually pushes self to learn, receives constructive feedback well.

Required Technical Skills:

  • Degree demonstrating training and experience in data science including mathematical component (e.g., Computer Science, Statistics, Mathematics, Data Science)
  • 2+ years of related work experience, such as deep analytics of large data, exploratory modeling
  • SQL
  • Good applied statistics skills, such as distributions, statistical testing, feature engineering
  • Understanding of machine learning techniques able to demonstrate basic understanding of algorithms
  • Python
  • Graph database, Graph theory


Desired Skills:

  • Accessing data on Hadoop
  • Agile Methodology and Artifacts, JIRA, Confluence content creation
  • Bitbucket / Git (or other version control)
  • Additional Programming Languages, for example, SAS, R, C++, Julia

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Data Scientist I to discover the information advantage in vast amounts of proprietary data. For this position, we want a Generalist: a person who has desire and ability to learn all parts of the data science process and is willing to develop depth in both data engineering and machine learning.


Data generalists work with experts on process and data to provide clean, well-structured data for modeling. The associate will also use statistical analysis, graph and modeling techniques. This position may deploy models and will need to learn and follow enterprise data management and model management policies. A strong foundation in math is required.


You will partner with more senior team members on feature engineering and full life cycle of modeling. This is a hands-on role from hypothesis to testing and documentation.

Key Responsibilities:

  • Prepare data for analytics including clean, design, move, and test huge data stores (files, tables on Teradata or Hadoop or UNIX file system)
  • Prototype, test and iterate through model development lifecycle, with instruction and guidance
  • Research opportunities for data acquisition and new uses for existing data
  • Provide data that are friendly, trustworthy and high quality
  • Employ a variety of languages and tools to marry systems together
  • Perform tasks of data wrangling and feature engineering
  • Recommend ways to improve data reliability, efficiency and quality
  • Individual contributor role practicing and enabling data science at Bank of America

Creative Problem-Solving: Approach data and modeling challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time, machine and human resources.
Effective Collaboration: Carefully listen to business partners, analysts, and other modelers to establish requirements and ensure proper representation of information for models.
Discipline and Organization: Apply structure and order to communication and documentation for CDSO data products and Model Management. Minimize risk by following best practices.
Listen and Learn: Listens to experts, has a curious and exploring nature, continually pushes self to learn, receives constructive feedback well.

Required Technical Skills:

  • Degree demonstrating training and experience in data science including mathematical component (e.g., Computer Science, Statistics, Mathematics, Data Science)
  • 2+ years of related work experience, such as deep analytics of large data, exploratory modeling
  • SQL
  • Good applied statistics skills, such as distributions, statistical testing, feature engineering
  • Understanding of machine learning techniques able to demonstrate basic understanding of algorithms
  • Python
  • Graph database, Graph theory


Desired Skills:

  • Accessing data on Hadoop
  • Agile Methodology and Artifacts, JIRA, Confluence content creation
  • Bitbucket / Git (or other version control)
  • Additional Programming Languages, for example, SAS, R, C++, Julia

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21072625

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Pamela Salvato

Referral Bonus:

0

Street Address

Primary Location:
525 N TRYON ST, NC, Charlotte, 28255