Lead Data Scientist

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CAMP Systems International, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1968

🚀 Aerospace

☁️ SaaS

🤝 B2B

💰 Debt financing on 2016-09

Aerospace • SaaS • B2B

CAMP Systems International, Inc. is a provider of aircraft health and maintenance management solutions for commercial and private aviation operators. The company delivers web and mobile SaaS tools and services — including maintenance management (MTX), engine health monitoring (EHM), inventory management (IMS), and flight scheduling (FS) — together with dedicated analyst support and OEM integrations to help operators plan, track, and manage scheduled and predictive maintenance across fleets.

📋 Description

• Deliver generative AI features: design, fine‑tune, and evaluate LLM/LMM applications (prompting, RAG, safety, and evals) that ship to production. • Build agentic AI workflows: plan and execute multi‑step tasks with tool use, memory, and orchestration; integrate with internal APIs and data sources. • Build & ship models: Develop, deploy, and scale machine learning models; own full lifecycle from experimentation to production, monitoring, and iteration. • Integrate analytics: Embed advanced analytics into applications and systems to enhance functionality and decision-making. • Deep data analysis: Analyze large, complex datasets to extract insights that inform strategy and product direction. • Raise the bar on rigor: Apply regression, tree-based methods (Random Forest, Boosting), text mining/NLP, neural networks, and clustering with strong statistical validation. • Optimize pipelines: Improve performance and reliability of ML pipelines and cloud integrations across AWS, Google Cloud, and Azure. • Mentor & lead: Guide junior teammates; enforce best practices for experimentation, documentation, and reproducibility. • Partner cross-functionally: Work closely with product, engineering, and business stakeholders to align initiatives with outcomes and timelines.

🎯 Requirements

• Proven experience delivering production generative/agentic AI solutions with measurable impact on user outcomes or team productivity. • Education: Bachelor’s or Master’s in Mathematics, Computer Science, Statistics, Data Science, or related field. • Experience: 8+ years as a Data Scientist or Data Engineer with demonstrated leadership responsibilities. • Leadership: Proven ability to mentor junior team members and collaborate effectively across teams. • Impact: Track record of influencing delivery quality, reliability, and security of ML solutions and communicating outcomes clearly to stakeholders.

🏖️ Benefits

• Remote work • Mentorship opportunities • Professional development • Flexible work arrangements