Jobs / United States / Abbvie INC
Senior Data Scientist
Abbvie INC · 🇺🇸 Mettawa, IL, US
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 177 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 94 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 Abbvie INC paid sponsored hires in similar roles1 certified filing for “Data Scientist - Centralized Monitoring and TA Analytics” (Data Scientists) in GA: $118k–$118k, median $118k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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.
Or apply yourself on the official page →
Sponsor Radar — Abbvie INC
The US Department of Labor certified 177 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 94 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 Abbvie INC →
About the role
AbbVie is seeking an experienced Senior Data Scientist to join our Analytics & AI organization and help advance the next generation of Copay Intelligence capabilities. This role will focus on developing innovative machine learning and artificial intelligence solutions that help identify complex reimbursement and affordability program dynamics, improve patient access insights, and drive more proactive decision-making across patient support programs. The successful candidate will play a key role in building predictive intelligence products that leverage healthcare, claims, enrollment, and patient-level data to identify emerging opportunities, uncover hidden patterns, and generate actionable recommendations. These capabilities support a long-term strategy to enhance copay program intelligence, improve affordability insights, and strengthen data-driven decision-making across the organization. Working closely with data engineering, business stakeholders, technology teams, and analytics partners, this individual will help transform large-scale healthcare data into scalable AI-powered solutions that create measurable business impact. What You'll Be Doing The Senior Data Scientist will lead the design, development, deployment, and continuous improvement of advanced analytics and AI solutions supporting AbbVie's Copay Intelligence initiatives. This individual will work on highly visible strategic programs focused on predictive intelligence, healthcare affordability analytics, patient access insights, and advanced machine learning applications. The role requires a combination of strong technical expertise, business acumen, and the ability to translate complex analytical findings into practical solutions. The ideal candidate is passionate about solving challenging problems with data and enjoys working across the full lifecycle of AI and machine learning product development. Core Responsibilities AI & Machine Learning Development • Develop advanced machine learning and artificial intelligence models that support healthcare affordability and copay intelligence initiatives. • Build predictive models that identify patterns, risks, and opportunities from healthcare, claims, enrollment, and patient-level data. • Design scoring frameworks, recommendation engines, and decision-support systems that enable proactive business actions. • Evaluate and implement modern AI methodologies, including machine learning, deep learning, ensemble methods, graph analytics, and Generative AI approaches. • Continuously improve model performance through experimentation, feedback loops, and performance monitoring. Advanced Analytics • Analyze large and complex healthcare datasets to uncover actionable business insights. • Perform feature engineering, predictive modeling, forecasting, segmentation, optimization, and statistical analyses. • Assess and monitor model performance using both statistical and business outcome metrics. • Translate analytical findings into clear recommendations for technical and non-technical stakeholders. • Develop methodologies to measure business impact and return on investment for analytical solutions. AI Product Development & Operationalization • Partner with data engineering and technology teams to deploy machine learning solutions into production environments. • Design scalable and maintainable machine learning workflows and pipelines. • Implement model monitoring, automated retraining, model governance, and performance management processes. • Support development of enterprise AI products that can be scaled across multiple business functions. • Ensure solutions adhere to organizational standards for quality, privacy, security, and compliance. Collaboration & Leadership • Partner with business stakeholders to identify op