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Entry Level Computer Science Environmental Jobs in Washington

Prescient Edge

Mid Computer Programmer

Bethesda, MD · On-site

A positive work environment where employees are respected, supported, and engaged. Description ... Computer software engineers apply the principles and techniques of computer science, engineering ...

Prescient Edge

Mid Computer Engineer

Bethesda, MD · On-site

$119K - $140K/yr

A positive work environment where employees are respected, supported, and engaged. Description ... Computer software engineers apply the principles and techniques of computer science, engineering ...

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All JobsEntry Level Computer Science Environmental JobsEntry Level Computer Science Environmental Jobs in Washington

Entry Level Computer Science Environmental information

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Environmental professional, and why are they important?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What are some typical projects an entry-level computer science professional might work on in the environmental sector?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What are entry level computer science environmental jobs?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

What are the most commonly searched types of Computer Science Environmental jobs in Washington? The most popular types of Computer Science Environmental jobs in Washington are:
What are popular job titles related to Entry Level Computer Science Environmental jobs in Washington? For Entry Level Computer Science Environmental jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Environmental jobs in Washington look for? The top searched job categories for Entry Level Computer Science Environmental jobs in Washington are:
What cities in Washington are hiring for Entry Level Computer Science Environmental jobs? Cities in Washington with the most Entry Level Computer Science Environmental job openings:
Entry Level Computer Science Environmental jobs near you
Infographic showing various Entry Level Computer Science Environmental job openings in Washington as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 93% Full Time, 4% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Cleared Computer Vision Scientist

Cleared Computer Vision Scientist

Accenture Federal Services

Washington, DC • On-site

Other

Posted 3 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services

Job description

The work: 

  • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. 
  • Deploy, maintain, and optimize ML models and data processes in a production environment 
  • Develop custom Computer Vision (CV) algorithms that translate into mission value 
  • Create tools to provide feedback from production ML models and data processes 
  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
  • Stay up to date with the latest research and advancements in the field of computer vision and deep learning
  • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
  • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
  • Assist in the integration of computer vision algorithms into production systems and applications 
  • Document code, methodologies, and experimental results

Here's what you need: 

  • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Proficiency with programming languages such as Python, C/C++ or Rust 
  • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in a team environment and take direction from senior team members
  • Hands-on experience with developing computer vision models at scale from inception to business impact 
  • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches 
  • U.S. Citizenship (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
  • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
  • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) 

Security Clearance: 

  • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

What Accenture Federal Services employees say

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