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Entry Level Environmental Science Jobs in Moore, OK

American Fidelity

Data Scientist

Oklahoma City, OK · On-site

Experience with data science methods related to data architecture, data cleaning, data and feature ... Ability to work in a fast-paced environment. * Exceptionally strong communication skills, including ...

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

Experience with data science methods related to data architecture, data cleaning, data and feature ... Ability to work in a fast-paced environment. * Exceptionally strong communication skills, including ...

Gemini

IT Analyst

El Reno, OK · On-site

$45K - $50K/yr

This is an entry-level to early-career position ideal for someone with strong technical curiosity ... REQUIRED QUALIFICATIONS * Bachelor's degree in Information Technology, Computer Science ...

GEMINI INDUSTRIES INC

IT Analyst

El Reno, OK

This is an entry-level to early-career position ideal for someone with strong technical curiosity ... REQUIRED QUALIFICATIONS * Bachelor's degree in Information Technology, Computer Science ...

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All JobsEnvironmental Science JobsEntry Level Environmental Science JobsEntry Level Environmental Science Jobs in Moore, OK

Entry Level Environmental Science information

See Moore, OK salary details

$12

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$33

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

As of Aug 25, 2026, the average hourly pay for entry level environmental science in Moore, OK is $21.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $24.33 per hour, depending on experience, location, and employer.

What are entry level environmental science jobs?

Entry level environmental science jobs are positions designed for individuals who are new to the environmental science field, typically recent graduates with a bachelor's degree in environmental science or a related discipline. These roles may include titles such as environmental technician, field assistant, laboratory analyst, or environmental consultant. Responsibilities often involve collecting and analyzing environmental data, assisting with fieldwork, preparing reports, and supporting environmental monitoring or remediation projects. These positions provide valuable hands-on experience and are a stepping stone to more advanced roles in environmental science.

What types of projects do entry-level environmental scientists typically work on, and how much fieldwork is involved?

Entry-level environmental scientists often assist with site assessments, environmental monitoring, data collection, and report preparation for projects such as pollution investigations, habitat restoration, or regulatory compliance. The amount of fieldwork varies by employer and project, but you can expect a mix of office-based analysis and on-site sampling or observation, sometimes requiring travel or outdoor work in various weather conditions. These projects offer valuable hands-on experience and opportunities to collaborate with engineers, senior scientists, and regulatory agencies, helping you build both technical and teamwork skills early in your career.

What is the difference between Entry Level Environmental Science vs Environmental Technician?

AspectEntry Level Environmental ScienceEnvironmental Technician
Required CredentialsBachelor's degree in environmental science or related fieldAssociate's degree or relevant certification, some roles may require a bachelor's
Work EnvironmentResearch labs, field sites, government agencies, consulting firmsFieldwork, sampling, data collection, laboratory analysis
Employer & Industry UsageUniversities, government agencies, environmental consulting firmsEnvironmental consulting, government agencies, industrial sites
Common Search & ComparisonYesYes

Entry Level Environmental Science roles typically require a bachelor's degree and involve research, analysis, and project planning in various environmental settings. Environmental Technicians often focus on field sampling and data collection, sometimes with an associate's degree or certification. Both roles are essential in environmental work, but they differ mainly in educational requirements and daily tasks.

How to start a career in entry level environmental science?

To start a career in entry level environmental science, obtain a relevant bachelor's degree such as environmental science, biology, or chemistry. Gaining practical experience through internships, volunteering, or research projects and developing skills in data analysis, GIS, and environmental monitoring can improve job prospects. Certifications like the EPA's Environmental Professional Certification or OSHA safety training can also be beneficial.

Is it hard to get a job in entry level environmental science right now?

Entry level environmental science jobs are competitive but accessible for recent graduates with relevant skills such as data analysis, fieldwork, and knowledge of environmental regulations. Job availability depends on location, industry demand, and individual qualifications, with opportunities often found in government agencies, consulting firms, and non-profit organizations.
More about Entry Level Environmental Science jobs

What are popular job titles related to Entry Level Environmental Science jobs in Moore, OK?

For Entry Level Environmental Science jobs in Moore, OK, the most frequently searched job titles are:

What cities near Moore, OK are hiring for Entry Level Environmental Science jobs?

Cities near Moore, OK with the most Entry Level Environmental Science job openings:

Entry Level Environmental Science jobs near you
Infographic showing various Entry Level Environmental Science job openings in Moore, OK as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $44,067 per year, or $21.2 per hour.

Data Scientist

Oklahoma City, OK • On-site

American Fidelity
Insurance Services • 1 - 5K employees
Learn more about American Fidelityexternal

Full-time

Posted 11 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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