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Remote Conservation Data Science Jobs in Alabama

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · On-site +1

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

Varsity Tutors

Life Sciences Tutor

Huntsville, AL · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Life Sciences Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Life Sciences Tutor

Birmingham, AL · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Life Sciences Tutor

Montgomery, AL · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

Hexagon AB

RMS Implementer (Remote- US)

Madison, AL · On-site +1

A bachelor's degree in computer science or related field or commensurate, documented experience in ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Hexagon AB

CAD Implementer (REMOTE-US)

Madison, AL · On-site +1

Lead simple data modeling and data conversion definition activities * Performs complex ... A degree in the Sciences, Computer Sciences, Engineering or a related discipline, or equivalent ...

CSAA

Implement formal modeling processes from end to end including data gathering, data profiling ... BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post-bachelor ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

Cloudera

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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Remote Conservation Data Science information

What are the key skills and qualifications needed to thrive as a Remote Conservation Data Scientist, and why are they important?

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 Alabama? The most popular types of Conservation Data Science jobs in Alabama are:
What job categories do people searching Remote Conservation Data Science jobs in Alabama look for? The top searched job categories for Remote Conservation Data Science jobs in Alabama are:
What cities in Alabama are hiring for Remote Conservation Data Science jobs? Cities in Alabama with the most Remote Conservation Data Science job openings:
Remote Conservation Data Science jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Re-posted 6 hours ago

Job description

Overview
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

#LI-KM1
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