{"id":195960,"url":"https://alion.io/job/jump-cloud-staff-data-scientist-machine-learning-india","title":"Staff Data Scientist, Machine Learning - India","company":{"id":2492,"name":"JumpCloud","domain":"jumpcloud.com","url":"https://alion.io/company/jump-cloud","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":84,"open_postings":10,"ghost_share":0,"stale_share":0.6,"repost_share":0.1,"time_to_fill_p50_days":36,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":57000,"period":"year","method":"role_seniority_country_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-02T22:47:21Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-11-03T05:29:40Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"About the Role\nWe 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.\nWhat We Are Looking For:\nProfessional Experience: 8+ years across analytics, LLMs, data science, and applied machine learning, with a proven track record of owning business-facing solutions.\n\nProduct-Focused ML: Experience developing real-time anomaly detection models and large-scale data processing systems to identify product usage signals and adoption patterns.\n\nBusiness ML Applications: Ability to solve business problems using predictive and prescriptive modeling, including price sensitivity, churn, revenue forecasting, and marketing mix optimization.\n\nDomain Expertise: Knowledge of identity threat signals (e.g., unusual logins, MFA behavior, authentication velocity) and analyzing deviations from historical user behavior.\n\nAI Execution & Advisory: Expertise in managing AI service costs and relevance, building AI agents for automated analysis, and generating explainable insights within business workflows.\n\nAnalytics Foundations: Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring to drive growth and efficiency.\n\nThought Leadership: Capability to reason through unfamiliar domains to identify potential signals, features, and modeling approaches independently.\n\nEcosystem Background: Experience in fast-paced, data-first environments or startups where ML is a core driver of business outcomes.\n\nWhat You Will Own:\nAI Stack Roadmap: Leading the path from opportunity sizing and prototyping through to evaluation, deployment, and impact measurement.\n\nTechnical Execution: Ensuring robust performance, validation, and inference of real-time models using the latest industry improvements.\n\nStandards & Governance: Establishing pragmatic standards for model development, LLM evaluation, observability, security, and cost management.\n\nCapability Mentorship: Coaching analysts and creating reusable tools to raise the collective quality of predictive problem-solving.\n\nStrategic Communication: Translating complex technical work into clear recommendations and trade-offs for senior stakeholders.\n\nCross-Functional Leadership: Aligning stakeholders with competing priorities and creating clarity in ambiguous settings to influence outcomes.\n\nTechnical Breadth:\nExpertise in Python, SQL, statistical analysis, and common ML frameworks.\n\nDeep knowledge of MLOps, including feature engineering, deployment, inference, and monitoring.\n\nProficiency with LLM APIs, RAG, Semantic Layers, Embeddings, and agent orchestration frameworks.\n\nExperience building robust ML pipelines for both real-time and asynchronous predictions.\n\nBehavioral Strengths\nExceptional business acumen and clarity of thought.\nCuriosity driven by purpose with the ability to 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