Jobs / United States / Humana INC
Lead Data Scientist - Autonomous Goal Management
Humana INC · 🇺🇸 Remote Nationwide · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Humana INC paid sponsored hires in similar roles5 certified filings for “Senior Data Scientist” (Data Scientists) in MA: $138k–$162k, median $143k. Most were filed at wage level IV (50%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Humana INC
The US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Humana INC →
About the role
Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You’ll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks. Key R esponsibilities • Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments • Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops) • Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior • Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives • Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency • Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies • Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms Technical skills • Proficiency in SQL, Python, and data analysis/data mining tools. • Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen • Experience with high performance, large-scale ML systems • Experience with language modeling with transformers • Experience with symbolic planning, causal reasoning, and model-based RL • Experience with large-scale ETL Use your skills to make an impact Required Qualifications • Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions • 2+ years of experience leading development of AI/ML systems Preferred Qualifications • Ph.D. in Computer Science, Data Science, Machine Learning, or a related field • Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation • Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition • Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality Additional Information Location/Work Style: Remote US #enterpriseAI Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member P