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Remote Conservation Data Science Jobs in Washington

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0229815 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0229817 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245271 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241528 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245915 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

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All JobsConservation Data Science JobsRemote Conservation Data Science JobsRemote Conservation Data Science Jobs in Washington

Remote Conservation Data Science information

What are the key skills and qualifications needed to thrive as a remote conservation data scientist?

To thrive as a Remote Conservation Data Scientist, you need expertise in data analysis, ecological modeling, and a strong background in environmental science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python or R, GIS tools (such as ArcGIS or QGIS), and relevant data management systems is essential. Excellent problem-solving, communication, and collaboration skills are crucial for translating data insights into actionable conservation strategies with remote teams. These abilities enable effective data-driven decision-making and foster impactful conservation outcomes across diverse and distributed environments.

How does a remote conservation data scientist typically collaborate with field teams and stakeholders?

Remote conservation data scientists often rely on digital communication tools—such as video calls, shared databases, and project management platforms—to work closely with field researchers, conservation managers, and external partners. While they may not be physically present at field sites, they regularly interpret, analyze, and visualize data collected on the ground, providing actionable insights for ongoing projects. Regular virtual meetings are common for aligning on project goals, discussing data quality, and adapting analytical approaches based on field realities. This collaborative structure ensures that data-driven recommendations are both relevant and grounded in real-world conservation challenges.

What is a remote conservation data scientist?

A Remote Conservation Data Scientist is a professional who analyzes environmental data to support conservation efforts, often working from a location outside of a traditional office or onsite fieldwork setting. They use data science techniques such as statistical analysis, machine learning, and geographic information systems (GIS) to interpret data related to biodiversity, ecosystems, wildlife populations, and climate change. Their work helps inform conservation policies, resource management, and strategies to protect natural habitats. Remote work in this field relies heavily on digital collaboration tools and access to large datasets. These scientists often partner with non-profits, government agencies, or research organizations to tackle global conservation challenges.
What are the most commonly searched types of Conservation Data Science jobs in Washington? The most popular types of Conservation Data Science jobs in Washington are:
Remote Conservation Data Science jobs near you
Infographic showing various Remote Conservation Data Science job openings in Washington as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Temporary. Highlights an 100% Remote job distribution.

Applied Data Scientist

Shift5

Arlington, VA • On-site, Remote

$120K - $170K/yr

Full-time

Re-posted 21 days ago

Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role, your primary responsibility will be to collaborate with customers and internal stakeholders to discover critical insights, deconstruct complex business problems into testable hypotheses, and build end-to-end data science solutions that scale back into Shift5's core product line.

What You'll Do
  • End-to-End Project Scoping: Take ownership of data science projects from initial problem definition and hypothesis building to final, actionable deliverable.

  • Product Generalization: Take one-off customer insights and solutions and build them back into the broader, deployable suite of Shift5 core products.

  • Cross-Functional Collaboration: Partner with embedded analysts, deployment strategists, and forward-deployed engineers to translate complex analyses into immediate customer value.

  • Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends, and break new ground in leveraging operational data for diagnosis and prediction.

  • System Optimization: Work closely with programmers, engineers, and leadership to identify process improvements, propose system modifications, and devise long-term data strategies.

What Success Looks Like
  • You are proactive at identifying critical open questions and customer needs - often far ahead of the customer's own articulation of them.

  • You maintain a "no task too small" mindset, successfully managing multiple engagements simultaneously while staying focused on scalable solutions.

  • You efficiently break down unstructured, highly ambiguous problems into smaller, manageable parts and execute them independently.

What We're Looking For
  • Technical Skills: Fluency in a generic analytics coding language (Python, SQL, R, or Matlab) and strong data needs analysis skills (identifying data and technical tests required to validate hypotheses).

  • Communication & Mindset: Excellent communication skills with a track record of translating highly technical information for non-technical audiences. A humble, receptive attitude toward feedback.

  • Logistics: Ability and willingness to travel up to 40% of the time (US only).

  • Preferred Experience: Experience with time-series data, and a background/education blend (ideally a Master's or Doctorate program) in Data Science. Industry experience in defense, aerospace, or cybersecurity is a major plus.

Compensation & Benefits

  • Base Salary: $120,000 - $170,000

  • Bonus program and equity in a fast-growing startup

  • Competitive medical, dental, and vision coverage for employees and their families

  • Health Savings Account with annual employer contributions

  • Employer-paid Life and Disability Insurance

  • Uncapped paid time off policy 

  • Flexible work & remote work policy 

  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA) 

We are committed to building an inclusive culture of belonging that embraces the diversity of our people and represents the communities in which we work and the customers we serve. We know the happiest and highest performing teams include people with diverse perspectives and ways of solving problems. We strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.  

Shift5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identify, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class. 

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