{"id":189126,"url":"https://alion.io/job/brillio-data-science-lead-r01570082","title":"Data Science Lead - R01570082","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":43,"ghost_share":0,"stale_share":0.953,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-02T06:54:20Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-28T09:22:20Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"Data Science Lead\nJob requirements\nWith at least 8 years of experience in technical product management, engineering management, or similar roles leading technical teams in AI/ML or data-driven product development Key Responsibilities:\nSet strategic priorities and determine team focus across AI Enablement and AI Experiments tracks, ensuring measurable progress toward organizational goals\nServe as the primary liaison with internal business teams to understand workflows, gather requirements, and translate business pain points into actionable technical work\nCollaborate with product teams to align exploration and experimentation efforts with broader product direction\nLead the team’s operating rhythm, including stand-ups, demos, planning sessions, and progress readouts to leadership and stakeholders\nAllocate resources across workstreams, moving team members based on shifting priorities to maximize impact and efficiency\nEvaluate and shut down experiments or projects that are not delivering results, reprioritizing efforts swiftly and effectively\nGuide the team’s technology roadmap by making decisions on model selection, infrastructure, build-vs-buy tradeoffs, and adoption of new tools\nDefine and evolve AI governance and compliance practices, establishing guardrails for responsible AI use, data handling, and decision explainability\nManage and optimize AI infrastructure spend, tracking LLM costs, token usage patterns, and vendor contracts to ensure cost-effective operations\nRequired Skills:\nAdvanced proficiency in Python for code review, scripting, and prototyping\nStrong understanding of LLM-based systems, including retrieval-augmented generation pipelines\nExperience with ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn\nHands-on experience with Azure cloud infrastructure for deploying, monitoring, and scaling AI workloads\nExpertise in statistical analysis and computing, including hypothesis testing, t-test, z-test, and regression techniques\nProficiency in forecasting techniques including exponential smoothing, ARIMA, and ARIMAX\nKnowledge of classification algorithms such as decision trees and SVM\nFamiliarity with tools like KubeFlow and BentoML for ML lifecycle management\nUnderstanding of probabilistic graph models and advanced distance metrics (Hamming, Euclidean, Manhattan)\nPreferred Skills:\nExperience with agent orchestration patterns for multi-step AI workflows\nExpertise in prompt engineering to optimize output quality in LLM-based systems\nProficiency with Great Expectations and Evidently AI for data validation and monitoring\nExperience defining AI governance frameworks for compliance and responsible data handling\nDesired Qualifications:\nBachelor's degree in Computer Science, Data Science, Statistics, Information Technology, or a closely related discipline\nCertification in Machine Learning, Data Science, or Artificial Intelligence from a recognized institution\nCertification in Azure AI or Cloud Services (such as Microsoft Certified: Azure AI Engineer Associate)","description_format":"text","description_chars":3021,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","AI Consulting & Integration","Cloud Consulting & Migration","Data Engineering & Migration 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