Lead Data Scientist

CAMP Systems International, Inc.

Lead Data Scientist at CAMP Systems, developing data science solutions for aircraft maintenance. Collaborating cross-functionally and leveraging cloud ML platforms to drive business impact.

Posted 7/23/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering generative AI solutions and building machine learning models, with a strong focus on data analysis, pipeline optimization, and cross-functional collaboration. Proven leadership in mentoring teams and ensuring high-quality, reliable ML solutions.

Highest-signal resume keywords

Generative AI SolutionsMachine Learning Model DevelopmentData AnalysisPipeline OptimizationMentoring and Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large Language Model (LLM)Machine Learning Model DeploymentRegression AnalysisText MiningNeural NetworksRandom ForestBoostingClusteringData ScienceStatistical Validation

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

AWSGoogle CloudAzureAPIs

Industry Keywords

Generative AIAgentic AIData EngineeringData ScienceAnalytics

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Remote work
Mentorship opportunities
Professional development
Flexible work arrangements