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Python Cloud Jobs In Oklahoma City Ok - 8 Job Positions Available

1 – 7 of 8 jobs
Leidos jobs

NISC IV is looking for a Database / Software Developer to support the Federal Aviation Administration’s Aeronautical Information Services organization. The successful candidate will support the design, development, modernization, testing, and implementation of data-driven software applications

Leidos  6 days ago
Oklahoma City Thunder jobs

Job DetailsJob Location: Remote Employee - Oklahoma City, OK 73102Position Type: InternshipJob Category: Business IntelligenceThe Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or

Oklahoma City Thunder  2 days ago
Oklahoma City Thunder jobs

Job DetailsJob Location: Remote Employee - Oklahoma City, OK 73102Position Type: InternshipThe Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or outcome, we’re driven

Oklahoma City Thunder  2 days ago
Oklahoma City Thunder jobs

Job DetailsJob Location: Remote Employee - Oklahoma City, OK 73102Position Type: InternshipJob Category: Basketball OperationsThe Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or

Oklahoma City Thunder  1 day ago
Confidential jobs

Vice President of Engineering (Remote) About the Company Revolutionary provider of AI-powered software solutions Industry Computer Software Type Privately Held About the Role The Company is seeking a VP of Engineering to lead its remote team

Confidential  1 day ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  11 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  11 days ago

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