Staff Data Scientist, Machine Learning - India

The role

This Staff Data Scientist will architect and execute machine learning solutions, develop large language models, and build the AI stack to automate complex data analytics workflows. The role combines classical machine learning with building AI agents that support business decision-making and analytics delivery.

What you will 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
• Establish standards for model development, LLM evaluation, observability, security, and cost management
• Coach analysts and create reusable tools to raise the 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

Required qualifications

• 8+ years across analytics, LLMs, data science, and applied machine learning, with a track record of owning business-facing solutions
• Experience developing real-time anomaly detection models and large-scale data processing systems
• Ability to solve business problems with predictive and prescriptive modeling, including price sensitivity, churn, revenue forecasting, and marketing mix optimization
• Knowledge of identity threat signals and analyzing deviations from historical user behavior
• Expertise in managing AI service costs and relevance, building AI agents, and generating explainable insights
• Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring
• 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 real-time and asynchronous predictions
• Fluent English, spoken and written

Nice to have

• Understanding of recurring-revenue B2B SaaS business models
• Experience with data engineering: data governance, transformation, and orchestration patterns on modern platforms

Before you apply

• You must be located in and authorized to work in India to be considered
• Fluent English is required; the interview and screening are conducted primarily in English
• Third-party resumes are not accepted

About the company

JumpCloud is an AI-powered unified IT management platform that consolidates identity, device, and access management. It serves organizations in 15+ countries.