Senior Data Scientist - Customer Experience and Channel Innovation

Role overview Lead the design and rollout of data-driven programs that improve patient and customer engagement and support business outcomes. This is a hands-on management role: you will develop and assess experiments, analytical models, and AI-enabled experiences while guiding data scientists, engineers, and contract contributors through product delivery.

Responsibilities - Work with partners to identify, prioritize, and test engagement ideas, including campaigns, messaging experiments, and conversational AI. - Use statistical methods and machine learning to assess interventions and guide product decisions. - Query and analyze large cloud datasets with Python, PySpark, and SQL to diagnose performance and identify opportunities. - Evaluate AI-generated results using structured assessment methods, and support measurement and ongoing monitoring. - Guide engineers through end-to-end product and data pipeline development, including workflows and supporting data layers. - Present findings to stakeholders, translate business needs into analytics problems, and mentor junior analysts.

Requirements - At least three years of academic or professional experience in data science, statistics, computer science, AI/ML, product or marketing analytics, or business analytics. - Proficiency with SQL, Python, and PySpark, plus experience working in a cloud computing environment. - Strong grasp of descriptive and inferential statistics, experimental design such as A/B testing, and observational studies. - Working knowledge of supervised and unsupervised machine learning and data engineering. - Experience leading complex work across multiple stakeholders, with strong problem structuring, communication, and presentation skills. - A master’s degree is required.

Nice to have - Hands-on experience with deep learning, large language models, prompt design, retrieval-augmented approaches, or agent-based workflows. - Experience evaluating AI outputs, building automated measurement, or maintaining data and knowledge layers for AI applications. - Familiarity with voice, SMS, or chat engagement; healthcare or pharmacy data; privacy requirements; and communications compliance. - Experience with data pipelines, code optimization or automation, visualization, and business intelligence. A doctorate is preferred.

Benefits and work setup - Full-time role, typically 40 hours per week. Eligible benefits include medical, dental, and vision coverage, paid time off, retirement savings options, and wellness programs.