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Environmental Data Scientist Jobs in Indiana (NOW HIRING)

Data Scientist

Crane, IN · On-site

$80K - $95K/yr

... a Data Scientist to provide engineering and technical support to assist our government customer ... Develop and deploy AI/ML and computer Vision workflow tools within Linux environments to support ...

... environment with rich involvement in technology innovation, ERP and CRM counselling, Product ... Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ...

Senior Data Scientist

Indianapolis, IN · On-site

$120 - $160/hr

The position offers growth, flexibility and a collaborative work environment. In this position you ... How you'll create opportunities in this Data Scientist Senior role: * Service Specialization:

You will create a healthy working environment, maximizing client satisfaction and cultivating ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Perform environmental monitoring and sampling of various media including but not limited to ... Collect site data, provide documentation for site activities, and prepare written reports.

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Showing results 1-20

Environmental Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do environmental data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for environmental data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

Is there a high demand for environmental data scientists?

Environmental data scientists are in high demand due to increasing focus on sustainability, climate change, and environmental monitoring. Organizations in government, research, and private sectors seek professionals skilled in data analysis, GIS, and environmental modeling, often requiring proficiency in tools like Python, R, and remote sensing technologies.
What are the most commonly searched types of Environmental Data Scientist jobs in Indiana? The most popular types of Environmental Data Scientist jobs in Indiana are:
What are popular job titles related to Environmental Data Scientist jobs in Indiana? For Environmental Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Environmental Data Scientist jobs in Indiana look for? The top searched job categories for Environmental Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Environmental Data Scientist jobs? Cities in Indiana with the most Environmental Data Scientist job openings:
Infographic showing various Environmental Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

$80K - $95K/yr

Full-time

Posted 26 days ago


Job description

Location: Crane, IN
Security Clearance: Secret
Job Type: Full-Time

Target Salary Range*: $80,000-95,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary


Position Overview

Amatriot is seeking a Data Scientist to provide engineering and technical support to assist our government customer with the collection of Live Imagery Products for Standardization (CLIPS) within the Department of Navy Electro-Optic (EO) Science and Technology (S&T) community. Products will support algorithm development on Unmanned Surface Vehicles (USV) and other customers. You will demonstrate competent knowledge of Linux systems, computer vision and camera operations.


Key ResponsibilitiesTechnical Analysis and Evaluation
  • Provide annotated and labeled video from Naval Imagery Collection Services (NICS) collections, including descriptors of scene content, collection pedigree, and AI/CV-assisted target labeling of targets within the video.
  • Provide recommendations for improving the fidelity in the ontology, which may include incorporating other data sources such as AIS, ADS-B, etc.
  • Develop and deploy AI/ML and computer Vision workflow tools within Linux environments to support military motion imagery and analysis.
  • Define metadata requirements and schemas to support the complex labeling of military motion imagery and live video streams.
  • Develop metadata tools, automated scripts, and models to support streamlined imagery labeling and video processing pipelines.
  • Develop efficient, Linux-compatible processes and tools for large-scale dataset preparation and dissemination.
  • Develop and implement data models in various formats to support the growth of NICS toolsets and the richness of data captured during data collections; provide documentation, processes, and tools to perform this task.
  • Identify, troubleshoot, and perform NICS hardware and Linux-based software upgrades to support evolving video collection requirements.
Documentation and Standardization
  • Review documentation and community feedback to generate a holistic ontology that captures the variety of scene content, enabling applications based on visual cues from motion imagery.
Testing and Support
  • Perform onsite data collection at scheduled test events using NICS camera and sensor hardware.
  • Attend local meetings and training in support of the effort.
  • Support LXN with engineering services as required.
Travel and On-Site Support
  • Travel is expected to be required in performance of this task.
  • Be present on-site at NSWC Crane to support the effort with occasional telework authorized for weather, illness/recovery or defined special projects.

QualificationsExperience
  • Experience with modern database design and management.
  • Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing.
  • Experience with computer hardware.
  • Experience wit h computer networking.
Skills
  • Excellent writing and communication skills pertaining to business planning and project development.
  • An advanced level of knowledge and experience with Linux environments, Computer Vision (CV) architectures, and camera video processing pipelines.
  • Experience working within a software development team.
  • Coding experience in any major programing language.
  • A basic understanding of Electro-Optic technical operational procedures and requirements.
  • Knowledge of the government communities that work in and with EO.
  • Advance computer programming language experience with C++/or Python.
Certifications
  • Information assurance Technical (IAT) Level II. Minimum Certification requirements must be met prior to performance and maintained throughout the period of performance.