{"id":129728,"url":"https://alion.io/job/observe-ai-lead-data-scientist","title":"Lead Data Scientist","company":{"id":2599,"name":"Observe.AI","domain":"observe.ai","url":"https://alion.io/company/observe-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-17T05:46:00Z"}},"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, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-27T07:03:49Z","employer_posted_date":null,"last_verified_at":"2026-08-27T07:03:49Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"Responsibilities:\nOwn the data problem formulation for Arintra's AI systems, defining how historical decision data, claim outcomes, and domain signals are structured, labeled, and mined to drive model accuracy and continuous improvement.\nLead the design of training data strategies: extracting signal from complex healthcare datasets, building high-quality labeled datasets from real-world coding decisions and denial outcomes, and prioritizing annotation effort for maximum model impact.\nDrive high-cardinality data mining across large code and payer spaces, identifying rare but high-value patterns that improve autonomous coding performance.\nOwn the architecture and evolution of Arintra's core AI platform spanning real-time inference, batch processing, and model training pipelines across traditional ML and Gen AI workloads.\nArchitect multi-modal AI systems combining unstructured clinical text, structured EHR data, and domain knowledge for comprehensive healthcare coding automation.\nLead technical evaluation of AI tools, platforms, and vendors' own build vs. buy decisions for key AI infrastructure components.\nMentor and develop AI engineers across NLP, traditional ML, and Gen AI specializations; lead architecture reviews and establish engineering best practices.\nPartner with data engineering, GenAI NLP, and product teams to align data and model training strategy with product requirements.\nRequirements:\n8+ years building and deploying production AI/ML systems with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure.\nDeep experience working with complex, domain-specific data at scale: extracting signal from noisy real-world datasets, building training data from historical decision records, and handling high-cardinality label spaces.\nDeep expertise across multiple AI domains (NLP, traditional ML, and Gen AI) with production deployments in each.\nExpert-level proficiency in PyTorch or TensorFlow; experience with model training at scale.\nProven track record on AI/ML projects where data quality, labeling strategy, and training data curation were the primary challenges, not just model architecture or deployment.\nExperience with cloud-native AI architectures on AWS, Azure, or GCP; containerized deployments (Docker, Kubernetes) for AI workloads.\nPreferred:\nExperience building self-improving AI systems: active learning pipelines, feedback loop architectures that connect outcome signals back to model updates, or reinforcement learning from human feedback (RLHF) / outcome-based reward signals.\nData mining experience at scale across high-cardinality feature spaces, finding rare but high-value patterns across large taxonomy or code spaces.\nHands-on experience with domain-specific AI systems that learn from historical decisions: e. g., autonomous decision engines, recommendation systems, or classification pipelines that adapt from labeled outcomes over time.\nExperience with MLOps tooling: CI/CD for ML, model versioning, monitoring, and deployment governance.\nExperience in healthcare technology, medical AI, or regulated industries, including HIPAA-compliant system design and audit trail requirements.","description_format":"text","description_chars":3187,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Natural Language Processing","Conversational AI","Speech & Audio AI"],"lifecycle":[{"event":"open","at":"2026-08-27T07:03:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 2","filings_12m":5,"filings_prev_12m":2,"green_card_filings_12m":2,"median_offered_wage_usd":144643,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.636,"p_room":0.55,"age_days":50,"expected_fill_days":40,"reasons":["seen:50","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/observe-ai-lead-data-scientist","json_url":"https://alion.io/job/observe-ai-lead-data-scientist.json","meta":{"generated_at":"2026-10-18T03:03:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4833,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2599},"rest":"https://alion.io/mcp/rest/get_company?id=2599"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fobserve-ai-lead-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fobserve-ai-lead-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fobserve-ai-lead-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/observe-ai-lead-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fobserve-ai-lead-data-scientist"}]}