2

Entry Level Python R Jobs in Oklahoma City, OK (NOW HIRING)

Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Entry Level Python R information

See Oklahoma City, OK salary details

$12

$54

$80

How much do entry level python r jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level python r in Oklahoma City, OK is $54.46, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $61.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python R vs Entry Level Data Analyst?

AspectEntry Level Python REntry Level Data Analyst
Required SkillsBasic Python, R, data manipulationExcel, SQL, data visualization
CertificationsNone required, but Python/R certifications helpfulNone required, often familiarity with Excel/SQL
Work EnvironmentTech companies, research labs, financeBusiness, marketing, finance, healthcare
Industry UsageData science, analytics, researchBusiness intelligence, reporting, analysis

Entry Level Python R roles focus on programming and data manipulation skills using Python and R, often in tech or research settings. Entry Level Data Analyst positions emphasize data visualization, reporting, and SQL skills in business environments. Both roles require foundational data skills but differ in technical focus and industry application.

Data Scientist

American Fidelity

Oklahoma City, OK • On-site

Full-time

Posted 18 days ago


Job description

Job Description:
Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.
Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.
Technical Skills and Requirements:
  • Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
  • Expert in database languages (e.g., SQL).
  • Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
  • Applied experience with machine learning on large datasets using Big Data tools such as Apache's Hadoop or Spark
  • Expert in deep learning techniques and neural networks using languages such as as TensorFlow
  • Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
  • Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
  • Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
  • Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
  • Familiarity working with both structured and unstructured data, including textual data.
  • Ability to work in a fast-paced environment.
  • Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional analytical thinking and problem solving skills.
  • Exceptional understanding of business and business strategy.
  • Exceptional planning skills.
  • Exceptional organizational skill and ability to work autonomously.

Education:
Master's degree in related field required.
Location:
This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.
#AFC