[Hiring] Staff Data Scientist @JumpCloud

Role Description

We are seeking a hands-on Staff Data Scientist to architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows. This role is at the heart of JumpCloud's applied-AI journey, combining deep foundations in classical machine learning with practical experience in building AI agents and systems that transform business decision-making and analytics delivery.

Qualifications

• 8+ years across analytics, LLMs, data science, and applied machine learning, with a proven track record of owning business-facing solutions.
• Experience developing real-time anomaly detection models and large-scale data processing systems to identify product usage signals and adoption patterns.
• Ability to solve business problems using predictive and prescriptive modeling, including price sensitivity, churn, revenue forecasting, and marketing mix optimization.
• Knowledge of identity threat signals (e.g., unusual logins, MFA behavior, authentication velocity) and analyzing deviations from historical user behavior.
• Expertise in managing AI service costs and relevance, building AI agents for automated analysis, and generating explainable insights within business workflows.
• Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring to drive growth and efficiency.
• Capability to reason through unfamiliar domains to identify potential signals, features, and modeling approaches independently.
• Experience in fast-paced, data-first environments or startups where ML is a core driver of business outcomes.

Requirements

• Leading the path from opportunity sizing and prototyping through to evaluation, deployment, and impact measurement.
• Ensuring robust performance, validation, and inference of real-time models using the latest industry improvements.
• Establishing pragmatic standards for model development, LLM evaluation, observability, security, and cost management.
• Coaching analysts and creating reusable tools to raise the collective quality of predictive problem-solving.
• Translating complex technical work into clear recommendations and trade-offs for senior stakeholders.
• Aligning stakeholders with competing priorities and creating clarity in ambiguous settings to influence outcomes.
• Expertise in Python, SQL, statistical analysis, and common ML frameworks.
• Deep knowledge of MLOps, including feature engineering, deployment, inference, and monitoring.
• Proficiency with LLM APIs, RAG, Semantic Layers, Embeddings, and agent orchestration frameworks.
• Experience building robust ML pipelines for both real-time and asynchronous predictions.

Benefits

• Remote work flexibility within the country noted in the Job Description.
• Opportunity to work in a fast-paced, SaaS-based environment.
• Collaboration with talented individuals across various departments.
• Voice in the organization with a seasoned executive team and supportive board.

Company Description

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.