Principal Data Scientist

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Lead the multi-year vision and technical roadmap for data science focused on omnichannel engagement analytics.

• Identify, assess, and prioritize AI opportunities that yield measurable commercial benefits.

• Develop business cases to influence investment decisions by senior leadership.

• Utilize AI-assisted development and agentic tools to prototype, test hypotheses, and showcase value.

• Create LLM-backed systems employing advanced RAG and context engineering, along with rigorous evaluation frameworks.

• Design predictive, causal, next-best-action, recommendation, and sequential decision models.

• Establish measurement science to assess effectiveness, incrementality, and business impact through experimental and quasi-experimental methods.

• Collaborate with product owners to define business goals, scope, success metrics, and scalable technical solutions.

• Foster alignment among commercial, marketing, sales, medical, legal and regulatory, compliance, technology, and external vendor stakeholders.

• Simplify complex methods and findings into actionable recommendations for both executive and non-technical audiences.

• Work alongside engineering and platform teams to deploy, monitor, and manage the lifecycles of AI/ML solutions.

• Set best practices for model development, code quality, reproducibility, peer review, and responsible AI use.

• Mentor the wider data science community and lead technical initiatives with external analytics vendors.

⛳️ Requirements

• A Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field is required.

• A minimum of 8 years of experience in data science, machine learning, or applied science, or 6 years if holding a PhD.

• Proven track record of delivering production-quality models that demonstrate measurable business impact.

• Experience in setting the technical direction for AI/ML portfolios and influencing senior business stakeholders.

• Familiarity with personalization, recommendation, decision-optimization, or marketing-science solutions.

• Extensive hands-on knowledge in causal inference and experimentation, including A/B testing and quasi-experimental methodologies.

• Practical experience with generative AI and AI-assisted development tools, including LLM APIs, AI coding assistants, and agent frameworks.

• Expert-level proficiency in Python and SQL.

• Experience with deep learning frameworks such as PyTorch or TensorFlow and distributed data processing.

• Proven ability to productionize AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management.

• Experience leading projects in complex, cross-functional stakeholder environments and presenting to executive audiences.

• Preferred: Commercial analytics experience in the pharmaceutical, biotech, healthcare, or life sciences sectors.

• Preferred: Familiarity with omnichannel analytics, advanced ML and optimization techniques, LLM-based and agentic AI systems, cloud ML platforms, 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) plan.

• Eligibility for long-term incentive programs.