Staff Data Scientist, Machine Learning - India
JumpCloud
IndiaremotePosted 1 month ago
Skill Required
Data-ScienceMachine-LearningApplied-AIEngineeringStaff-Data-ScientistSenior-Machine-Learning-Data-ScientistSenior-Staff-Data-ScientistData-ScientistData ScientistMachine Learningdata engineeringObservabilityPrototypingdevelopinganalyticssecuritybuildingPythonAPIsGenerative AIRAGSQLandAIFulltime
Key highlights
- Location: Remote (India)
- Experience Level: 8+ years
- Company: JumpCloud®
- Focus: AI, LLMs, and Data Science
Role overview
JumpCloud® is an AI-powered unified IT management platform that consolidates identity, device, and access management to secure modern workforces. 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, sitting at the heart of our applied-AI journey.
Responsibilities
- Leading the AI stack roadmap 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.
Requirements
- 8+ years of professional experience across analytics, LLMs, data science, and applied machine learning.
- 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.
- Capability to reason through unfamiliar domains to identify potential signals, features, and modeling approaches independently.
- Experience in fast-paced, data-first environments or startups.
- 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.
- Ability to zoom in on details and zoom out for strategy.
- Must be located in and authorized to work in India.
- Required to speak and write in English fluently.
Nice to have
- Understanding of recurring-revenue B2B SaaS business models.
- Experience with Data Engineering: Data governance, transformation, and orchestration patterns on modern platforms.
Additional details
- Role is Remote First; must be located in India.
- All internal business is conducted in English.
- Applicants must submit a résumé and a brief explanation of why they are a good fit.
- JumpCloud is not accepting third-party resumes at this time.
- JumpCloud is an equal opportunity employer.
- Official company communication will come from @jumpcloud.com email addresses; beware of recruitment scams.