2

Entry Level Data Science Jobs in Oklahoma (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Python Developer - Entry Level

Tulsa, OK ยท On-site

$43.50 - $60/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

Junior UI Developer

Midwest City, OK ยท On-site

$64K - $83K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Junior AngularJS Developer

Tulsa, OK ยท On-site

$58K - $75K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Visualization engineers, BI Analysts, Machine ...

Data Processing Chemist

Oklahoma City, OK ยท On-site

$23 - $26/hr

... science and customer service. This is an entry-level role, the Data Processing Chemist I, will be responsible for collaborating with chemists, of various levels, performing supportive tasks to ensure ...

... science and customer service. This is an entry-level role, the Data Processing Chemist I, will be responsible for collaborating with chemists, of various levels, performing supportive tasks to ensure ...

Provide database support for CM activities, including maintaining data accuracy, consistency, and ... Computer Science, or related field Level 1: Entry Level Level 2: Minimum 3 years of experience ...

Provide database support for CM activities, including maintaining data accuracy, consistency, and ... Computer Science, or related field Level 1: Entry Level Level 2: Minimum 3 years of experience ...

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

next page

Showing results 1-20

Entry Level Data Science information

See Oklahoma salary details

$9

$17

$24

How much do entry level data science jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for entry level data science in Oklahoma is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.76 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Oklahoma? The most popular types of Data Science jobs in Oklahoma are:
What are popular job titles related to Entry Level Data Science jobs in Oklahoma? For Entry Level Data Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Oklahoma look for? The top searched job categories for Entry Level Data Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Entry Level Data Science jobs? Cities in Oklahoma with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Oklahoma as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,591 per year, or $17.6 per hour.

Data Scientist

asrcfh

Oklahoma City, OK โ€ข On-site

Other

Posted 16 days ago


Job description

ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract.

We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.

Responsibilities:

  • Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
  • Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
  • Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
  • Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
  • Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
  • Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
  • Support full software lifecycle including requirements, development, testing, and deployment
  • Perform capacity planning and scalability assessments for distributed systems
  • Develop technical documentation, reports, and artifacts for field use
  • Lead or contribute to process improvements
  • Collaborate with government stakeholders, engineers, and field technicians

Requirements:

US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.

On-site presence will be as required by the FAA.

  • Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
  • Proficiency in Python, R, SQL, or similar data analysis languages.
  • Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
  • Experience with use of source control such as Git.
  • Must demonstrate initiative with minimal oversight
  • Experience working in a team environment
  • Experience authoring technical documentation and providing technical support
  • Good written and spoken communication including developing technical documentation
  • Ability to pass an FAA background investigation
  • Must be local to the OKC area or willing to relocate.ย  Will need to have the ability to physically access laboratory hardware when needed.
  • Must be willing to travel up to 5% of the time.

Education/Experience:

  • Bachelorโ€™s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field

Level 1: Entry Level

Level 2: Minimum 3 years of experience equivalent to a level 1

Level 3: Minimum 3 years of experience equivalent to a level 2

Level 4: Minimum 3 years of experience equivalent to a level 3