Staff Data Scientist, Machine Learning - India
Job description
A hands-on Staff Data Scientist role at JumpCloud to architect and execute machine learning solutions, develop LLMs, and build the AI stack that automates complex data analytics workflows. The role sits at the heart of JumpCloud's applied-AI journey, combining classical ML foundations with practical AI agent and systems building.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · India
- Languages
- English – fluent
What you'll do
- Lead the AI stack roadmap from opportunity sizing and prototyping through evaluation, deployment, and impact measurement
- Ensure robust performance, validation, and inference of real-time models using the latest industry improvements
- Establish pragmatic standards for model development, LLM evaluation, observability, security, and cost management
- Coach analysts and create reusable tools to raise the collective quality of predictive problem-solving
- Translate complex technical work into clear recommendations and trade-offs for senior stakeholders
- Align stakeholders with competing priorities and create clarity in ambiguous settings to influence outcomes
What we're looking for
- 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
- 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
- Exceptional business acumen and clarity of thought
- Curiosity driven by purpose with the ability to "zoom in" on details and "zoom out" for strategy
- Fluent in English (speak and write)
Nice to have
- Understanding of recurring-revenue B2B SaaS business models
- Experience with Data Engineering: Data governance, transformation, and orchestration patterns on modern platforms
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About JumpCloud
Intelligent, Secure IT.
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.
Mission
To 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.
Key facts
- IT management platform / SaaS
- Teams in 15+ countries around the world
- Conducts internal business in English
- Remote First company
- One of three core values is to "Build Connections"
What they value
- Build Connections