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Entry Level Conservation Data Science Jobs in Virginia

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data analysts/Data Scientists * Machine Learning engineers Who should apply?

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

... data, and understanding watershed dynamics. Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural disaster preparedness, environmental conservation, and ...

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Entry Level Conservation Data Science information

What types of projects can an Entry Level Conservation Data Scientist expect to work on, and how do they typically contribute to larger conservation efforts?

As an Entry Level Conservation Data Scientist, you can expect to work on projects such as analyzing wildlife population data, mapping habitat changes using GIS, and modeling the impacts of environmental policies. Your work often involves managing and cleaning ecological datasets, running statistical analyses, and visualizing results to support conservation decisions. You’ll typically collaborate with ecologists, field researchers, and policy teams to translate data insights into actionable conservation strategies. This role is a great starting point for learning how data-driven approaches directly inform and improve conservation practices.

What is entry level conservation data science?

Entry level conservation data science is a field where professionals use data analysis and computational tools to help solve problems in environmental conservation. These roles typically involve collecting, cleaning, and analyzing data related to wildlife, ecosystems, and natural resources. Entry-level positions may include tasks like managing databases, visualizing geographic information, and supporting research projects. This field is ideal for recent graduates with skills in data science, ecology, or environmental science who want to contribute to conservation efforts.

What are the key skills and qualifications needed to thrive as an Entry Level Conservation Data Scientist, and why are they important?

To thrive as an Entry Level Conservation Data Scientist, you need a background in ecology or environmental science, proficiency in data analysis, and experience with statistics, usually supported by a relevant bachelor's degree. Familiarity with programming languages like R or Python, data visualization tools, and GIS software is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and share findings clearly. These competencies are crucial for generating actionable insights from complex environmental data to support conservation decision-making.

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

AspectEntry Level Conservation Data ScienceEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; basic programming skillsBachelor's in Environmental Science, Data Analysis, or related field; proficiency in data tools
Work EnvironmentFieldwork, research institutions, conservation organizationsResearch labs, government agencies, environmental consultancies
Employer & Industry UsageConservation projects, wildlife agencies, NGOsEnvironmental impact assessments, policy analysis, sustainability firms

While both roles involve analyzing environmental data, Conservation Data Scientists focus on applying data science techniques to conservation efforts, often combining field data with advanced analytics. Environmental Data Analysts typically handle data interpretation for environmental reports and policy. The roles overlap in skills and industry but differ in focus and application.

What are the most commonly searched types of Conservation Data Science jobs in Virginia? The most popular types of Conservation Data Science jobs in Virginia are:
What job categories do people searching Entry Level Conservation Data Science jobs in Virginia look for? The top searched job categories for Entry Level Conservation Data Science jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Conservation Data Science jobs? Cities in Virginia with the most Entry Level Conservation Data Science job openings:

Entry level_New graduates (Computer Science/CIS)

Dev Talent Network

Reston, VA • On-site

Full-time

Posted 16 days ago


Job description

Dev's Talent Network is designed to create a network of talented applicants who are interested in working for Dev Technology and are waiting for a job opening that matches their skills and experience. Here you will find positions we are "always recruiting" as well as an opportunity to share your resume with Dev, even if the job position you seek is not listed here today.
The Dev Talent Network is a community of highly qualified technical and management professionals recognized by Dev to demonstrate strong alignment with our company culture. The Dev Talent Network is comprised of candidates, referrals, Dev alumni, and fellow colleagues with whom we have worked in the past.
We're excited to evolve the Dev Talent Network so our members stay connected with Dev and discover new career opportunities with us.
Dev Technology Group frequently hires new graduates for our entry level opportunities. Dev Technology is a great place to launch your career with a variety of programs that support our new hires and growth that include our mentorship programs, Denizens, Dev University and more. We hire entry level talent in the following IT service areas: Application Development (Full Stack), QA/Testers, Business Analysts, and AI/Data Science.
Required Education, Experience, and Skills:
  • Bachelors degree in Computer Science, CIS, AI, Data Science or similar program of study
  • Demonstrated a strong interest in software development or related technical areas through past employment or academic/personal projects (e.g. GitHub portfolio, etc.) and software development concepts ad best practices for Developer and Business Analyst Opportunities
    • OR Knowledge of machine learning and data science approaches and applications for Data Science and AI Opportunities
  • Ability to obtain a U.S. government clearance as required
  • Previous internship experience learning skills applicable to Dev Technology's service areas
  • A desire to serve government clients and support their missions
  • Ability to quickly absorb and learn application functionality well enough to explain it to someone else
  • Understanding of application technology stacks and how they function together
  • Demonstrated ability to communicate clearly and concisely both verbally and in writing
  • Excellent diplomacy and communication skills with both clients and technical staff
  • Excels working as part of a team
  • Openness to continuous learning and receiving constructive feedback in order to improve
  • Familiarity with agile development methodologies including Scrum, Kanban, or Lean practices preferred

***By submitting your information you agree our talent recruitment team may use your contact information to reach out to you regarding new opportunities that may be applicable to your experience.