Per Diem Environmental Data Science Jobs (NOW HIRING)

Who we are:

Altagrove delivers smart and innovative technology solutions that create competitive advantages for our customers and their missions. Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A successful candidate will bring a core area of expertise and a passion for learning and implementing new ideas in a start-up environment.

Follow us at -https://www.linkedin.com/company/altagrove

What you will do:

• Design, develop, deploy, and maintain AI-enabled analytics solutions supporting operational and strategic mission objectives.
• Build and optimize enterprise data pipelines, ingestion frameworks, transformation workflows, and integration services supporting analytics and AI platforms.
• Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data.
• Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities.
• Develop scalable data architectures, metadata enrichment pipelines, indexing services, and retrieval systems supporting enterprise knowledge exploitation.
• Collaborate with mission stakeholders, engineers, and technical teams to identify high-value AI and data-driven use cases.
• Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities.
• Design and implement ETL/ELT processes supporting operational, analytical, and machine learning workloads.
• Develop dashboards, visualizations, reports, and analytical products that communicate insights to technical and non-technical stakeholders.
• Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern data engineering technologies.
• Implement data quality controls, monitoring solutions, security controls, and governance practices across enterprise data environments.
• Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to-end solution delivery.
• Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions.
• Support technical documentation, architecture development, operational procedures, training materials, and knowledge transfer activities.

What you will bring:

• Experience developing and deploying advanced analytics, machine learning, artificial intelligence, or enterprise data engineering solutions within government, defense, intelligence, or highly regulated environments.
• Strong proficiency in Python and experience with modern data science and engineering frameworks.
• Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies.
• Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows, and data integration architectures.
• Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering concepts.
• Experience working with SQL, NoSQL, data lakes, data warehouses, and cloud-native data platforms.
• Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
• Understanding of data governance, metadata management, data quality, security, and compliance principles.
• Experience with containerization technologies, Kubernetes, DevSecOps practices, and Infrastructure-as-Code is highly desirable.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively across multidisciplinary engineering and mission teams.
• Experience supporting NATO, DoD, Intelligence Community, or other national security organizations is highly desired.
• Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline.
• Active Secret Clearance required; TS/SCI or NATO Secret preferred.
• Exceptional attention to detail and organizational skills.