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Staff Data Scientist, Machine Learning - India

1 week, 5 days ago
India
Full-time
Lead
Data Scientist
Data Science and Analytics
Feature Engineering LLM Machine Learning MLOps Python SQL
Apply Now
JumpCloud

JumpCloud

JumpCloud provides a unified platform for managing identity, access, and devices across various operating systems, enabling secure and frictionless access to resources through features like single sign-on, multi-factor authentication, and a Zero Trust ...

Internet Software & Services
501-1000
Founded 2013
$417M raised
View All Jobs 44

Description

  • Lead the AI stack roadmap from opportunity sizing and prototyping through evaluation, deployment, and impact measurement.
  • Architect and build machine learning solutions, LLM applications, and AI agents for automated analytics workflows.
  • Develop real-time anomaly-detection models and large-scale data systems to identify product-usage and adoption signals.
  • Build predictive and prescriptive models for pricing, churn, revenue forecasting, and marketing optimization.
  • Ensure reliable model validation, performance, inference, monitoring, security, and cost management.
  • Establish standards for model development, LLM evaluation, observability, and governance.
  • Create explainable insights and translate technical findings into recommendations and trade-offs for senior stakeholders.
  • Coach analysts and develop reusable tools that improve predictive problem-solving.
  • Align cross-functional stakeholders and drive decisions amid competing priorities and ambiguity.

Requirements

  • 8+ years of experience across analytics, data science, applied machine learning, and LLMs, including ownership of business-facing solutions.
  • Expertise in Python, SQL, statistical analysis, and common machine learning frameworks.
  • Deep MLOps experience, including feature engineering, deployment, inference, and monitoring.
  • Experience with LLM APIs, RAG, semantic layers, embeddings, and agent-orchestration frameworks.
  • Experience building ML pipelines for real-time and asynchronous predictions.
  • Experience with anomaly detection, large-scale data processing, segmentation, root-cause analysis, funnel optimization, and acquisition-quality scoring.
  • Ability to develop predictive and prescriptive models for price sensitivity, churn, revenue forecasting, and marketing mix optimization.
  • Knowledge of identity threat signals, including unusual logins, MFA behavior, authentication velocity, and deviations from historical behavior.
  • Fluent written and spoken English; must be located in and authorized to work in India.
  • Understanding of recurring-revenue B2B SaaS models and modern data-engineering, governance, transformation, and orchestration patterns (preferred).

Benefits

  • Remote-first role within India.
  • Opportunity to work with cross-functional teams on applied AI and machine learning initiatives.
  • Supportive, inclusive workplace that values diverse perspectives and professional growth.

Interested in this position?

Apply directly on the company website

Apply Now

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