Staff Data Scientist, Machine Learning - India

Remote; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Job summary

JumpCloud is seeking a hands-on Staff Data Scientist to architect and execute AI/ML solutions, develop Large Language Models, and build the AI stack to automate complex data analytics workflows. This role drives real-time analytics, model governance, and scalable AI delivery across the organization.

The ideal candidate has extensive experience with predictive and prescriptive modeling, identity threat signals, and engaging with senior stakeholders to translate insights into action.

Qualifications

• 8+ years across analytics, LLMs, data science, and applied machine learning.
• Experience building real-time anomaly detection models and large-scale data processing systems.
• Ability to solve business problems with predictive and prescriptive modeling.
• Knowledge of identity threat signals and deviation analysis.
• Experience managing AI services costs and building AI agents.
• Strong analytics foundations in segmentation, funnel optimization, and growth metrics.

Responsibilities

• AI Stack Roadmap: Lead opportunity sizing, prototyping, evaluation, deployment and impact measurement.
• Technical Execution: Ensure robust performance, validation and real-time inference of models.
• Standards & Governance: Establish pragmatic standards for model development, LLM evaluation, observability and cost management.
• Capability Mentorship: Coach analysts and create reusable tools to raise predictive problem-solving quality.
• Strategic Communication: Translate complex technical work into clear recommendations for senior stakeholders.
• Cross-Functional Leadership: Align stakeholders and resolve ambiguity to influence outcomes.

Skills

Analytics

LLMs

Data Science

Applied ML

MLOps

Python

SQL

Business acumen

Tools

LLM APIs

RAG

Semantic Layers

Embeddings

Agent Orchestration

Data Pipelines

Job description

About JumpCloud®

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. We 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.

About the Role

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.