Staff Data Scientist, Machine Learning

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 11%

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JumpCloud

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

☁️ SaaS

🔐 Security

🏢 Enterprise

💰 $66M Series F on 2021-10

SaaS • Security • Enterprise

JumpCloud is a unified identity, device, and access management platform that helps organizations centrally manage and secure their IT infrastructure across multiple operating systems and devices. It provides comprehensive solutions for cross-platform device management, cloud-first directory services, Active Directory modernization, and hybrid work enablement. JumpCloud enhances security through features such as zero trust security, passwordless authentication, and multi-factor authentication. Its platform supports automated onboarding and offboarding, identity lifecycle management, conditional access, and compliance management. JumpCloud integrates with various HR systems and offers SaaS management, allowing companies to streamline IT operations and reduce complexity. Trusted by organizations worldwide, JumpCloud is recognized for its ability to unify and secure digital workplace environments efficiently and effectively.

📋 Description

• Architect and execute machine learning solutions • Develop large language models (LLMs) • Build the AI stack to automate complex data analytics workflows • 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 improve 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 • Transform business decision-making and analytics delivery

🎯 Requirements

• 8+ years 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 • 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 and deviations from historical user behavior • Expertise in managing AI service costs and relevance • Experience building AI agents for automated analysis and generating explainable insights • Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring • Ability to reason through unfamiliar domains independently • Experience in fast-paced, data-first environments or startups where ML drives 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 real-time and asynchronous predictions • Exceptional business acumen and clarity of thought • Curiosity driven by purpose, with ability to focus on details and strategy • Fluent spoken and written English • Must be located in and authorized to work in India

🏖️ Benefits

• Remote work within India • Opportunity to share and grow expertise • Work with talent across departments • Supportive board and seasoned executive team • Equal opportunity employment