Jobs / United States / Humana INC
Data Scientist
Humana INC · 🇺🇸 6 Locations
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. The pay stated here ($97,900 - $133,500 per year) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen 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.
Or apply yourself on the official page →
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, advancing AI innovation enterprise-wide across Humana’s Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve 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. Join us in shaping the future of healthcare through AI excellence. We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Key Responsibilitie s • AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana’s ethical standards, focusing on transparency, safety, and real-world impact. • Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain , LangGraph , AutoGen , CrewAI ) to support reasoning and decision-making in healthcare. • Enterprise Integration & Business Collaboration Embed AI into Humana’s systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance. • MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. • Execution of data science initiatives, including design, development, and implementation. • Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions. • Develop and maintain advanced AI/machine learning models and algorithms. • Design and implement robust monitoring capabilities to maintain optimal performance and reliability. • Experience in creating reports, projections, models, and presentations to business stakeholders. Use your skills to make an impact Required Qualifications • Bachelor's Degree and 2 or more years of applicable experience OR Master's Degree and 1 or more year of experience preferably with a focus on developing production-ready AI solutions • Experience with Agentic AI System Design • Experience collaborating with MLOps and DevOps teams • Proficiency in SQL, Python, PySpark, and data analysis/data mining tools • Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch • Experience with high performance, large-scale ML systems • Experience with language modeling with transformers • Experience with large-scale ETL Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location Options: • Louisville, KY • Boston, MA • New York, NY • Dallas, TX • Tampa, FL • Washington, DC (Arlington, VA) Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills,