AbbVie
Principal Research Scientist
Mettawa, IL, United States · Principal
Sponsorship not specifiedDetected 12 hours ago
PythonCode ReviewSQLDatabricksAzureCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsRAGAgentic AIMLOpsAI OrchestrationStatisticsA/B TestingResearchLeadershipPublic Speaking
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odds of building a lasting career here
38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 38 green-card filings in this occupation, 97% were for a worker who already held the job.
Green-card follow-through: 59%
Of 22 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 480 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
DOL often reclassifies their job titles
The Department of Labor assigned a different occupation than this employer requested on 44% of its 55 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.
Files H-1B transfers
7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer.
- Reporting to the Associate Director, Data Science, the
- set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously.
Responsibilities
- Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest.
- Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations.
- Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data.
- Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously.
- Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions.
- Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions.
- The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation.
Requirements
- Required Experience
- Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders.
- Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact.
- Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management.
- Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences.
- Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement.
Nice to have
- Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required
- Master's or PhD in a quantitative field strongly preferred.
- Preferred Experience
Benefits
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading.
Company info
- We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position.
Equal opportunity
- Employer/Veterans/Disabled.
- US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
- US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
- https://www.abbvie.com/join-us/reasonable-accommodations.html
This listing is sourced directly from AbbVie's careers page and normalized into a canonical job model.