AI Data Scientist

AAFES

$90K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of IT experience in AI development deployment or equivalent.
  • Bachelor's degree plus 3 years of relevant IT experience may substitute for work experience.
  • Proficiency in SQL, Python, or data visualization tools is essential.
  • Strong analytical skills to interpret large datasets effectively.
  • Up-to-date with the latest AI research and techniques.

Responsibilities

  • Collaborate with teams to understand data analysis initiatives.
  • Analyze large data sets for trends and business insights.
  • Develop reports using statistical and machine learning techniques.
  • Ensure alignment of data analysis with strategic objectives.
  • Stay informed on advancements in AI tools and methods.

Benefits

  • Onsite work at headquarters in Dallas, Texas.
  • Focus on collaboration with internal and external teams.
  • Emphasis on professional development in cutting-edge AI tools.
Full Job Description
Additional Qualifications/Requirements

PCS Not Authorized/LSP Not Authorized

Work - Onsite (HQ - Dallas, Texas)

  • Remote/Telework not authorized per Presidential Memorandum "Return to In Person Work"


Job Qualifications

Five years of IT experience in modern AI development deployment, including proficiency with SQL, Python, or data visualization tools, or equivalent, is required.

OR

Bachelor's degree and three years of IT experience in modern AI development deployment, including proficiency with SQL, Python, or data visualization tools or equivalent, is required.

Major Duties

Collaborate with internal and external teams to gain a clear understanding of the purpose, scope, and objectives of each data analysis initiative, ensuring strategic alignment and effective support.
Analyze and interpret large data sets to identify trends, patterns, and provide key business insights.
Develop insights and reports from multiple data sources using statistical, and machine learning techniques.
Stay up-to-date with the latest AI research, tools, and techniques.
Performs other duties as assigned.

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