Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... environments. * Translates complex business problems into analytical approaches with clear ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... environments. * Translates complex business problems into analytical approaches with clear ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... environments. * Translates complex business problems into analytical approaches with clear ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... environments. * Translates complex business problems into analytical approaches with clear ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
AI Flight Optimization Engineering Intern
$15.50 - $20/hr
... environmental data, and mission information. We are applying emerging AI technologies to transform ... Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or ...
AI Flight Optimization Engineering Intern
$15.50 - $20/hr
... environmental data, and mission information. We are applying emerging AI technologies to transform ... Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or ...
AI Flight Optimization Engineering Intern
Oklahoma City, OK · On-site
$15.50 - $20/hr
... environmental data, and mission information. We are applying emerging AI technologies to transform ... Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or ...
AI Flight Optimization Engineering Intern
Oklahoma City, OK · On-site
$15.50 - $20/hr
... environmental data, and mission information. We are applying emerging AI technologies to transform ... Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or ...
Environmental Specialist
Oklahoma City, OK · On-site +1
Proficiency with standard computer applications and environmental data management or mapping tools, as applicable.. Education and Experience * Required : Bachelor's degree in Environmental Science ...
Environmental Specialist
Oklahoma City, OK · On-site +1
Proficiency with standard computer applications and environmental data management or mapping tools, as applicable.. Education and Experience * Required : Bachelor's degree in Environmental Science ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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?
| Aspect | Environmental Data Science Intern | Environmental Data Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in environmental science, data science, or related fields | Bachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis |
| Work Environment | Internship setting, often in research labs, environmental agencies, or consulting firms | Full-time role in environmental agencies, consulting firms, or corporate sustainability teams |
| Employer & Industry Usage | Used by organizations offering internships to train future professionals | Used 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:
Full-time
Re-posted 4 days ago
Job description
Job Summary
The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and operationalizes advanced analytics and Artificial Intelligence/Machine Learning solutions that drive measurable value across subsurface, drilling and completions, production operations, HSE, and commercial functions at Continental Resources. This role partners with multidisciplinary stakeholders to translate business problems into data-driven solutions, develop robust models and pipelines, and deploy them to production with strong Machine Learning Ops and governance practices. The ideal candidate combines a Master of Science in Data Science with strong applied analytics capability, solid data engineering skills, and practical oil and gas domain experience comparable to a seasoned upstream engineering background.
Duties and Responsibilities
Skills and Competencies
Required Qualifications
Preferred Qualifications
Physical Requirements and Working Conditions
Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.
The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and operationalizes advanced analytics and Artificial Intelligence/Machine Learning solutions that drive measurable value across subsurface, drilling and completions, production operations, HSE, and commercial functions at Continental Resources. This role partners with multidisciplinary stakeholders to translate business problems into data-driven solutions, develop robust models and pipelines, and deploy them to production with strong Machine Learning Ops and governance practices. The ideal candidate combines a Master of Science in Data Science with strong applied analytics capability, solid data engineering skills, and practical oil and gas domain experience comparable to a seasoned upstream engineering background.
Duties and Responsibilities
- Leads the design, development, and deployment of Artificial Intelligence/Machine Learning solutions for upstream subsurface and well operations, including physics-informed and hybrid modeling approaches for reservoir, drilling, and production optimization.
- Builds advanced Artificial Intelligence/Machine Learning solutions for commercial analytics use cases such as pricing, supply chain, marketing, and trading to improve profitability and decision speed.
- Executes complex AI initiatives from ideation and discovery through model development, deployment, and sustainment as part of integrated, enterprise-level teams.
- Architects and implements reliable data pipelines and features using modern data platforms (e.g., Databricks, cloud services), ensuring data quality, lineage, and performance for analytics workloads.
- Applies Machine Learning Ops best practices to automate training, testing, deployment, monitoring, and model lifecycle management at scale in production environments.
- Translates complex business problems into analytical approaches with clear hypotheses, success criteria, and measurable outcomes across upstream and commercial domains.
- Develops and delivers communications that convey a clear understanding of technical concepts, model results, and business implications to diverse technical and non-technical audiences.
- Builds strong partnerships and cross-functional relationships with geoscience, engineering, operations, commercial, IT, and leadership stakeholders to drive adoption and sustain business impact.
- Gains the confidence and trust of others through honesty, integrity, and follow-through while championing responsible and secure use of data and AI.
- Actively seeks new ways to grow and be challenged by staying current on emerging Artificial Intelligence/Machine Learning, generative AI, optimization, and computational techniques relevant to energy and integrating them where they add value.
- Other duties as assigned.
Skills and Competencies
- Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
- Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
- Drives results - Consistently achieving results, even under tough circumstances.
- Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
- Nimble learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
- Situational adaptability - Adapting approach and demeanor in real time to match the shifting demands of different situations.
- Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity.
Required Qualifications
- Bachelor of Science in Petroleum, Mechanical, Chemical, or related Engineering discipline from an accredited college or university and Master of Science in Data Science, or a closely related data science or analytics field, from an accredited college or university.
- Minimum five (5) years of hands-on experience delivering production-grade data science/Machine Learning solutions, including end-to-end lifecycle from discovery to deployment and sustainment.
- Proficiency in Python and SQL; experience with Machine Learning frameworks and tooling (e.g., scikit-learn, PyTorch/TensorFlow), and data platforms such as Databricks and cloud services.
- Experience building and maintaining data pipelines and features and applying Machine Learning Ops practices for model deployment and monitoring in enterprise environments.
- Demonstrated ability to partner with technical and business domains in energy, including upstream subsurface, drilling/completions, production operations, and/or commercial analytics such as pricing, supply chain, marketing, or trading.
- An acceptable pre-employment background and drug test.
Preferred Qualifications
- Oil and gas industry experience, particularly in upstream engineering, subsurface, drilling and completions, production operations, or commercial energy analytics.
- Background in computational sciences, optimization, or high-performance computing for engineering applications.
- Familiarity with enterprise data governance, security, and responsible AI practices in regulated environments.
- Five (5) or more years of combined oil and gas engineering/domain experience and applied data science experience.
Physical Requirements and Working Conditions
- Requires prolonged sitting, some bending and stooping.
- Occasional lifting up to 25 pounds.
- Manual dexterity sufficient to operate a computer keyboard and calculator.
Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.