ZipRecruiter

Log In

1

Environmental Data Science Intern Jobs in Oklahoma

Safety Radar

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

... environment. Write, retain, and improve SQL scripts to query and format outputs of AI analysis ... Position requires a Master's degree (or foreign equivalent) in Data Science, Business Analytics, or ...

PCI

Software Analyst - Intern

Norman, OK · Hybrid

Our Software helps protect the environment and lowers utility bills by optimizing energy and ... Validate Alignment of Data and Integration requirements * Validate test scenarios mapping to ...

Love's Travel Stops

Data Scientist

Oklahoma City, OK · On-site

$70 - $90/hr

In-depth, hands‑on knowledge of data science tools preferred * Proven experience with ... Work effectively within a team-oriented and collaborative environment * Keen attention to detail

New

previous pagenext page

Showing results 21-40

All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Oklahoma

Environmental Data Science Intern information

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an environmental data science intern, and why are they important?

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What is the difference between Environmental Data Science Intern vs Environmental Data Analyst?

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What are popular job titles related to Environmental Data Science Intern jobs in Oklahoma?

For Environmental Data Science Intern jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science Intern jobs in Oklahoma look for?

The top searched job categories for Environmental Data Science Intern jobs in Oklahoma are:

What cities in Oklahoma are hiring for Environmental Data Science Intern jobs?

Cities in Oklahoma with the most Environmental Data Science Intern job openings:

Environmental Data Science Intern jobs near you

Data Scientist

American Public Life Insurance Company

Oklahoma City, OK • On-site

$95 - $140/hr

Other

Posted 2 days ago

New

Job description

## Data ScientistApplylocations: Oklahoma City, Oklahomatime type: Full timeposted on: Posted Todayjob requisition id: JR987Job 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. #J-18808-Ljbffr

Apply