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Presentation Design Jobs In Tulsa Ok - 10 Job Positions Available

1 – 8 of 10 jobs
JMARK jobs

JMARK is an IT managed services provider headquartered in Springfield, Missouri, with a second office in Tulsa, Oklahoma, and numerous full-time remote employees spread throughout the country. The reason JMARK is a best place to work

JMARK  27 days ago
Williams jobs

At Williams, we’re powering a cleaner, more connected future, and that starts with you. Here, your work fuels communities, drives innovation, and helps deliver reliable energy the world depends on. Join a Fortune 500 team that

Williams  26 days ago
Williams jobs

At Williams, we’re powering a cleaner, more connected future, and that starts with you. Here, your work fuels communities, drives innovation, and helps deliver reliable energy the world depends on. Join a Fortune 500 team that

Williams  21 days ago
Williams jobs

At Williams, we’re powering a cleaner, more connected future, and that starts with you. Here, your work fuels communities, drives innovation, and helps deliver reliable energy the world depends on. Join a Fortune 500 team that

Williams  19 days ago
Williams jobs

At Williams, we’re powering a cleaner, more connected future — and that starts with you. Here, your work fuels communities, drives innovation, and helps deliver reliable energy the world depends on. Join a Fortune 500 team

Williams  13 days ago
WSP jobs

This Opportunity WSP is seeking a Project Manager, Power & Energy for our Power & Energy Program Management Office in Tulsa, OK. The following locations will also be considered: Oklahoma City, OK; Dallas, TX; Austin, TX;

WSP  13 days ago
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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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