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Environmental Data Science Intern Jobs in Hawaii

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

Experience working with structured and unstructured datasets in complex environments. Experience * Minimum of 3 to 5 years of experience in data science, analytics, machine learning, or related ...

New

ManTech

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

... making in distributed environments. * Document methodologies and processes to ensure ... Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics ...

ManTech International

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

... making in distributed environments. * Document methodologies and processes to ensure ... Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics ...

National Capitol Contracting (NCC)

Be Seen First

Senior Data Scientist

Honolulu, HI · On-site

... based data environments. Key Responsibilities * Analyze structured and unstructured data to ... Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics ...

Cymertek

Data Scientist

Honolulu, HI · On-site

... fast-paced environment, we encourage you to apply! *** Please note that our job openings are ... DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ...

Cymertek

Data Scientist

Honolulu, HI · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics ... We're committed to creating an environment where you'll thrive professionally and personally. We ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

... environment to provide the best possible outcomes for our clients. Join us. The world can't wait. You Have : * 3+ years of experience in software development, data science, or data engineering based ...

Zimmer Biomet

$14.50 - $19.25/hr

We are committed to creating an environment where every team member feels included, respected ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI · On-site

$99K - $225K/yr

... environment to provide the best possible outcomes for our clients. Join us. The world can't wait. You Have : * 3+ years of experience in software development, data science, or data engineering based ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

... environment to provide the best possible outcomes for our clients. Join us. The world can't wait. You Have : * 3+ years of experience in software development, data science, or data engineering based ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI

$225K/yr

... environment to provide the best possible outcomes for our clients. Join us. The world can't wait. You Have : * 3+ years of experience in software development, data science, or data engineering based ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Hawaii

Environmental Data Science Intern information

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 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 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 are popular job titles related to Environmental Data Science Intern jobs in Hawaii? For Environmental Data Science Intern jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science Intern jobs in Hawaii look for? The top searched job categories for Environmental Data Science Intern jobs in Hawaii are:
What cities in Hawaii are hiring for Environmental Data Science Intern jobs? Cities in Hawaii with the most Environmental Data Science Intern job openings:
Environmental Data Science Intern jobs near you

Data Scientist I - NAVSEA

National Capitol Contracting LLC

Waimanalo, HI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NCC is seeking a Data Scientist I to join our team. This role will support the customer by leveraging data analytics, business intelligence tools, and cloud-based technologies to improve operational effectiveness, program performance, and decision-making. This role will work with large and complex datasets to develop dashboards, generate actionable insights, and support data-driven initiatives across customer programs. The ideal candidate is a lifelong learner and data champion who combines strong analytical skills and emotional intelligence with experience in data visualization, database querying, and cloud-based data environments.

The Data Science environment is flexible and highly collaboration oriented, with an expectation of cross training and dynamic teaming on complex problems. We work across contractual and organizational boundaries to help and be helped by large prime contractors, NAVSEA working groups, and Navy stakeholders. Success is measured in solving large structural problems, finding and eliminating small errors, and consistently delivering improved data governance, normalization, transformation, and visualization capabilities. Good stewardship, commitment to service, and a desire to effect positive change in a critical moment in our Navy’s mission are expected and celebrated.

Key Responsibilities
  • Analyze structured and unstructured data to identify trends, patterns, and actionable insights for risks, integrity, and optimized ingest.
  • Design, develop, and maintain interactive dashboards and reports using PowerBI, Qlik Sense/QlikView.
  • Extract, transform, and analyze data using SQL, Python, PostreSQL, and other data management tools.
  • Support data integration efforts across multiple systems and data sources including existing Data Lakes, archived spreadsheets, Access and other legacy databases.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Develop and maintain data models, performance metrics, and key performance indicators (KPIs).
  • Perform data quality assessments and recommend process improvements.
  • Create visualizations and presentations that effectively communicate findings to technical and non-technical audiences.
  • Document methodologies, processes, and technical solutions in accordance with NAVSEA and DoD standards.
Minimum Requirements
  • Active Secret clearance.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related technical field.
  • 4+ years of experience in data analytics, business intelligence, data science, or a related field.
  • Hands-on experience with Tableau, PwerBI, Qlik Sense and/or QlikView for dashboard development and reporting.
  • Experience writing and optimizing SQL queries for data extraction and analysis.
  • Experience with AWS services and cloud-based data environments, or demonstrated ability to work within AWS platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Experience working with large datasets and multiple data sources.
  • Proficiency with Microsoft Office Suite, particularly Excel and PowerPoint.
  • Strong written and verbal communication skills.
Preferred Qualifications
  • Knowledge of data warehousing, ETL processes, and data governance principles.
  • Experience with programming languages such as Python or R for data analysis and automation.
  • Familiarity with AWS analytics services such as Amazon Redshift, Athena, Glue, QuickSight, or S3.
  • Experience developing predictive models, statistical analyses, or machine learning solutions.
  • Understanding of Agile methodologies and project management practices.
  • Active Secret Clearance or higher.
  • Experience presenting analytical findings to senior leadership and program stakeholders.