Data Scientist Visa Sponsorship Jobs in Oklahoma
Data scientist roles in Oklahoma are concentrated in Oklahoma City and Tulsa, where energy giants like Devon Energy and ONEOK, along with major health systems and aerospace firms, drive demand for analytics talent. Employers in these sectors have filed for H-1B visa sponsorship, making Oklahoma a practical target for international data scientists.
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Get Access To All JobsJob Posting End Date
11-05-2026
Please note the job posting will close on the day before the posting end date.
Job Summary
Responsible for conducting basic analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build basic reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data.
Job Description
What You'll Do:
- Assists with the development of basic analytical tools to solve high-value business problems across AEP.
- Utilize analytical tools and data management skills to provide actionable business intelligence.
- Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses. Help identify, acquire, and provide management of data needed for various analytic studies.
- Assist in the development of components of predictive and prescriptive systems to optimize operations and support strategic initiatives.
- Apply data visualization tools to large data sets to enhance data understanding.
- Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.
- Collaborate with technology partners to develop data acquisition and data management practices. Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.
- Collaborate with technology and business units to operationalize meaningful reports and dashboards.
What We're Looking For:
Education: Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
Experience: No additional experience is required. An equivalent combination of education and related experience may be considered.
What You’ll Get:
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Where Putting the Customer First Powers Everything We Do!
At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
Compensation Data
Compensation Grade: SP20-006
Compensation Range: $74,551.00 - $151,132.50
The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.
Job Posting End Date
11-05-2026
Please note the job posting will close on the day before the posting end date.
Job Summary
Responsible for conducting basic analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build basic reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data.
Job Description
What You'll Do:
- Assists with the development of basic analytical tools to solve high-value business problems across AEP.
- Utilize analytical tools and data management skills to provide actionable business intelligence.
- Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses. Help identify, acquire, and provide management of data needed for various analytic studies.
- Assist in the development of components of predictive and prescriptive systems to optimize operations and support strategic initiatives.
- Apply data visualization tools to large data sets to enhance data understanding.
- Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.
- Collaborate with technology partners to develop data acquisition and data management practices. Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.
- Collaborate with technology and business units to operationalize meaningful reports and dashboards.
What We're Looking For:
Education: Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
Experience: No additional experience is required. An equivalent combination of education and related experience may be considered.
What You’ll Get:
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Where Putting the Customer First Powers Everything We Do!
At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
Compensation Data
Compensation Grade: SP20-006
Compensation Range: $74,551.00 - $151,132.50
The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.
Data Scientist Job Roles in Oklahoma
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Search Data Scientist Jobs in OklahomaData Scientist Jobs in Oklahoma: Frequently Asked Questions
Which companies in Oklahoma sponsor visas for data scientists?
Energy companies including Devon Energy, ONEOK, and Williams Companies have sponsored H-1B workers in data-related roles. Major health systems such as INTEGRIS Health and Mercy, along with aerospace and defense contractors operating near Tulsa, also appear in federal LCA disclosure data. University-affiliated research centers and financial services firms in Oklahoma City round out the sponsoring employer base for data scientists.
Which visa types are most common for data scientist roles in Oklahoma?
The H-1B is the most common visa for data scientists in Oklahoma, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT through Oklahoma universities can work while an H-1B petition is filed. Professionals with extraordinary ability may also explore the O-1A category.
Which cities in Oklahoma have the most data scientist sponsorship jobs?
Oklahoma City is the primary hub, supported by the energy sector, state government agencies, and a growing financial services presence. Tulsa is the second-largest market, driven by energy midstream companies, aerospace manufacturers, and the broader tech community that has expanded around the Tulsa Remote initiative. Norman, home to the University of Oklahoma, generates a smaller but steady pipeline of data science opportunities.
How to find data scientist visa sponsorship jobs in Oklahoma?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search data scientist roles in Oklahoma without sorting through positions that won't support international candidates. The platform focuses on employers with an active sponsorship history, which is especially useful in Oklahoma where the sponsoring employer pool is more concentrated than in larger tech markets. Filtering by city lets you target Oklahoma City or Tulsa specifically.
Are there state-specific considerations for data scientists seeking sponsorship in Oklahoma?
Oklahoma's data science job market is heavily shaped by the energy industry, so candidates with domain knowledge in upstream or midstream oil and gas analytics tend to be more competitive. The University of Oklahoma and Oklahoma State University produce local graduates, meaning employers may face domestic competition for roles, which influences how readily they initiate sponsorship. Prevailing wage requirements still apply, and employers must file a Labor Condition Application with the Department of Labor before submitting an H-1B petition.
What is the prevailing wage for sponsored data scientist jobs in Oklahoma?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.