Principal Research Scientist I Data
Core
Senior technical and scientific leader for omnichannel engagement analytics, setting multi-year vision for personalized commercial engagement using AI/ML and statistical solutions.
Role type
Principal Research Scientist (Data Science)
Builds
Scalable AI/ML solutions for channel mix, content, and field representative call planning.
Domain
Life Sciences / Pharmaceutical / Marketing Science
Deliverable
production ML models
Required skills
Causal inference, Generative AI, Experimentation design, Python, SQL, Deep learning frameworks, Cloud ML deployment, Stakeholder alignment, Technical strategy
Preferred skills
Commercial analytics in pharma/biotech, Omnichannel analytics, Reinforcement learning, LLM orchestration, MLOps tools, Thought leadership
Technologies
PyTorch, TensorFlow, Azure ML, Databricks, MLflow, LLM APIs, RAG
Responsibilities
Define multi-year data science vision and technical roadmap; Identify and prioritize AI opportunities for commercial impact; Lead hands-on development of Gen-AI and agentic systems; Design predictive and causal models for next-best-action; Own measurement science for business impact; Partner with product owners to co-define business outcomes; Navigate complex stakeholder ecosystems; Communicate findings to executive audiences; Productionize AI/ML solutions at scale; Establish best practices for scientific rigor and responsible AI.
Seniority
Principal, hands-on IC with strategy & mentorship
