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.
What We Are Looking For:
Professional Experience: 8+ years across analytics, LLMs, data science, and applied machine learning, with a proven track record of owning business-facing solutions.
Product-Focused ML: Experience developing real-time anomaly detection models and large-scale data processing systems to identify product usage signals and adoption patterns.
Business ML Applications: Ability to solve business problems using predictive and prescriptive modeling, including price sensitivity, churn, revenue forecasting, and marketing mix optimization.
Domain Expertise: Knowledge of identity threat signals (e.g., unusual logins, MFA behavior, authentication velocity) and analyzing deviations from historical user behavior.
AI Execution & Advisory: Expertise in managing AI service costs and relevance, building AI agents for automated analysis, and generating explainable insights within business workflows.
Analytics Foundations: Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring to drive growth and efficiency.
Thought Leadership: Capability to reason through unfamiliar domains to identify potential signals, features, and modeling approaches independently.
Ecosystem Background: Experience in fast-paced, data-first environments or startups where ML is a core driver of business outcomes.
What You Will Own:
AI Stack Roadmap: Leading the path from opportunity sizing and prototyping through to evaluation, deployment, and impact measurement.
Technical Execution: Ensuring robust performance, validation, and inference of real-time models using the latest industry improvements.
Standards & Governance: Establishing pragmatic standards for model development, LLM evaluation, observability, security, and cost management.
Capability Mentorship: Coaching analysts and creating reusable tools to raise the collective quality of predictive problem-solving.
Strategic Communication: Translating complex technical work into clear recommendations and trade-offs for senior stakeholders.
Cross-Functional Leadership: Aligning stakeholders with competing priorities and creating clarity in ambiguous settings to influence outcomes.
Technical Breadth:
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.
Behavioral Strengths
- Exceptional business acumen and clarity of thought.
- Curiosity driven by purpose with the ability to "zoom in" on details and "zoom out" for strategy.
Preferred Qualifications
- Understanding of recurring-revenue B2B SaaS business models.
- Experience with Data Engineering: Data governance, transformation, and orchestration patterns on modern platforms.
#LI-PD1
Skills Required
- 8+ years of professional experience across analytics, LLMs, data science, and applied machine learning
- Experience developing real-time anomaly detection models and large-scale data processing systems
- Experience applying predictive and prescriptive modeling to business problems such as churn, revenue forecasting, price sensitivity, or marketing mix optimization
- Knowledge of identity threat signals and deviations from historical user behavior
- Experience building AI agents for automated analysis and generating explainable insights
- Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring
- Experience in fast-paced, data-first environments or startups where machine learning drives business outcomes
- Expertise in Python, SQL, statistical analysis, and machine learning 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 ML pipelines for real-time and asynchronous predictions
- Fluent written and spoken English
- Located in and authorized to work in India
- Understanding of recurring-revenue B2B SaaS business models
- Experience with data engineering, data governance, transformation, and orchestration on modern platforms
What the Team is Saying
JumpCloud Compensation & Benefits Highlights
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Healthcare Strength — Day-one medical, dental, and vision in the U.S., with HSA options and employer contributions, are complemented by no-cost EAP support and mental-health coverage. Expanded medical travel coverage is also highlighted when in-network care is not available nearby.
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Retirement Support — A U.S. 401(k) with employer matching (50% up to 6% per Built In) anchors the retirement offering. Access to a personal financial consultant at no cost provides additional planning support.
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Leave & Time Off Breadth — Flexible/unlimited PTO is emphasized alongside paid sick days, paid holidays, and wellness days. Parental and family medical leave are also highlighted.
JumpCloud Insights
What We Do
JumpCloud’s mission is to Make Work Happen®, providing simple, secure access to an organization’s technology resources from any device, or any location. The JumpCloud Open Directory Platform gives IT, security operations, and DevOps a single, cloud-based solution to control and manage employee identities and their devices, and apply conditional access controls based on Zero Trust principals. Since launching in 2012, our global user base has grown to more than 150,000 organizations, with more than 5,000 paying customers including Cars.com, GoFundMe, Grab, ClassPass, Uplight and Peloton. JumpCloud has raised over $400M from world-class investors including Sapphire Ventures, General Atlantic, Sands Capital, Atlassian, and CrowdStrike. Our teams are growing fast, too, and we're looking for talent across engineering, sales, customer success, marketing, product management, and more. Join our team of dedicated, passionate, and creative people who are eager to change the IT industry forever. We live by our core values which are: Build Connections Think Big 1% Better Every Day
Why Work With Us
We offer an incredible opportunity to see your impact. Each team member gets an up close personal view and education into building a fast growing startup. We are transparent about what we are doing, how we are doing it, and the decisions that we are making. There is opportunity to progress and flexibility to find unique approaches to our business
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JumpCloud Offices
Remote Workspace
Employees work remotely.
JumpCloud is committed to being remote-first across the world. We have team members in most U.S. states and in 14 countries.
