Principal Data Scientist

🔥 12 hours ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $124.5k - $236.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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AbbVie

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2013

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

AbbVie is a global pharmaceutical company that discovers and delivers innovative medicines and solutions to enhance lives. With a focus on addressing the world's toughest health challenges, AbbVie operates in over 175 countries, providing a wide range of products across areas like immunology, oncology, neuroscience, and aesthetics. Committed to scientific innovation, AbbVie invests heavily in research and development, aiming to produce first-in-class medicines. The company also emphasizes workplace diversity, sustainability, and patient support initiatives, ensuring positive impact for both its patients and the broader community.

📋 Description

• Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics • Identify, size, and prioritize AI opportunities that drive measurable commercial impact • Build business cases and influence senior leadership investment decisions • Use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value • Build LLM-backed systems using advanced RAG and context engineering with rigorous evaluation frameworks • Develop predictive, causal, next-best-action, recommendation, and sequential decision models • Establish measurement science for effectiveness, incrementality, and business impact using experimental and quasi-experimental methods • Partner with product owners to define business outcomes, scope, success metrics, and scalable technical solutions • Build alignment across commercial, marketing, sales, Medical, Legal and Regulatory, Compliance, technology, and external vendor stakeholders • Translate complex methods and findings into recommendations for executive and non-technical audiences • Partner with engineering and platform teams to deploy, monitor, and manage AI/ML solution lifecycles • Establish best practices for model development, code quality, reproducibility, peer review, and responsible AI • Mentor the broader data science community and lead technical workstreams with external analytics vendors

🎯 Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required • 8+ years of experience in data science, machine learning, or applied science, or 6+ years with a PhD • Track record of delivering production-quality models with measurable business impact • Experience setting technical direction for AI/ML portfolios and influencing senior business leaders • Experience with personalization, recommendation, decision-optimization, or marketing-science solutions • Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods • Hands-on experience with generative AI and AI-assisted development tools, such as LLM APIs, AI coding assistants, and agent frameworks • Expert proficiency in Python and SQL • Experience with deep learning frameworks such as PyTorch or TensorFlow and distributed data processing • Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management • Experience leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences • Preferred: commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences • Preferred: experience with omnichannel analytics, advanced ML and optimization methods, LLM-based and agentic AI systems, cloud ML platforms and MLOps tools, external thought leadership, and agile product development

🏖️ Benefits

• Paid time off, including vacation, holidays, and sick leave • Medical, dental, and vision insurance • 401(k) • Eligibility to participate in long-term incentive programs