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Entry Level Scientist Jobs in Oklahoma (NOW HIRING)

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

AI & GenAI Data Scientist - Manager

Tulsa, OK ยท On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Showing results 1-20

Entry Level Scientist information

See Oklahoma salary details

$46.6K

$102.8K

$127K

How much do entry level scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for entry level scientist in Oklahoma is $102,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $126,500.00 per year, depending on experience, location, and employer.

What is an entry level scientist?

An Entry Level Scientist is a professional starting their career in a scientific field, typically working in research, laboratory analysis, or data collection. They assist senior scientists with experiments, documentation, and reporting findings. Responsibilities vary by industry but often involve conducting tests, analyzing results, and ensuring compliance with regulations. Strong analytical skills, attention to detail, and a background in science are essential. This role provides foundational experience for career growth in scientific research or applied sciences.

What are the typical daily responsibilities of an entry level scientist?

As an Entry Level Scientist, your daily responsibilities can include conducting laboratory experiments, preparing samples, recording and analyzing data, and maintaining lab equipment. You will often support senior scientists with ongoing research projects and assist in troubleshooting experimental issues. Collaboration is common, as you may work closely with team members to share findings and ensure best practices are followed. This hands-on experience helps you build foundational skills necessary for career progression in scientific research or industry.

What are the key skills and qualifications needed to thrive as an entry level scientist?

To thrive as an Entry Level Scientist, a bachelor's degree in a scientific discipline, proficiency in laboratory techniques, and a solid understanding of data analysis are generally required. Familiarity with lab equipment, software such as Microsoft Excel or specialized analysis tools, and laboratory safety certifications are often expected. Attention to detail, problem-solving ability, and strong collaboration and communication skills help individuals excel in this position. Mastery of these skills ensures accurate scientific results, safe lab environments, and effective teamwork in research or industry settings.

What are the most commonly searched types of Scientist jobs in Oklahoma?

The most popular types of Scientist jobs in Oklahoma are:

What are popular job titles related to Entry Level Scientist jobs in Oklahoma?

For Entry Level Scientist jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Entry Level Scientist jobs in Oklahoma look for?

The top searched job categories for Entry Level Scientist jobs in Oklahoma are:

What cities in Oklahoma are hiring for Entry Level Scientist jobs?

Cities in Oklahoma with the most Entry Level Scientist job openings:

Infographic showing various Entry Level Scientist job openings in Oklahoma as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $102,807 per year, or $49.4 per hour.

Data Scientist

Oklahoma City, OK โ€ข Hybrid

Full-time

Posted 16 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.

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