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Entry Level Conservation Data Science Jobs in Virginia

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is a great entry-level opportunity for new graduates who want hands-on dynamic ... BA/BS degree from an accredited college/university in Computer Science, Statistics, or Information ...

State of Virginia

Natural Heritage Tech

Richmond, VA · On-site

$15 - $17/hr

  • Medical

  • PTO

Applied Sciences and Natural Resources Title: Natural Heritage Tech State Role Title: Environmental ... UG Agency: Dept Conservation & Recreation Location: MAIN STREET CENTRE Agency Website: Recruitment ...

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All JobsConservation Data Science JobsEntry Level Conservation Data Science JobsEntry Level Conservation Data Science Jobs in Virginia

Entry Level Conservation Data Science information

What types of projects does an entry level conservation data scientist work on?

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?

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 are popular job titles related to Entry Level Conservation Data Science jobs in Virginia?

For Entry Level Conservation Data Science jobs in Virginia, the most frequently searched job titles 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:

Entry Level Conservation Data Science jobs near you
Infographic showing various Entry Level Conservation Data Science job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Data Engineer Analyst (WDP)

Bespoke Technologies, Inc

Chantilly, VA • On-site

Full-time

Posted 9 days ago

Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).

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