Lead Data Scientist

Lead Data Scientist - Advanced ML/AI & Decision Intelligence

This role will focus on bringing advanced models like optimization and predictive models to a complex high velocity enterprize scale production systems, accelerating efficiency, accuracy, and adoption of enhanced solutions with business partners.

SKILLS:

• Experience in advanced analytics, decision science, applied AI/ML.

• Strong programming skills in Python and SQL, with experience deploying AI systems in cloud environments (GCP, Azure / Databricks).

• Deep expertise in at least one area of advanced modeling: predictive analytics, optimization, causal inference, or graph analytics.

• Strong demonstrated product thinking and agile delivery approach.

• Experience leading end-to-end AI-driven solution delivery: from data foundation to model orchestration to front-end adoption.

• Proven ability to translate complex ML and AI concepts into business impact, including stakeholder alignment and business value sizing.

• Strong communication, storytelling, and customer engagement skills, with a passion for building solutions that are intuitive and impactful.

Preferred Qualifications for both roles:

• Knowledge of LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, RAG).

• Experience with agentic AI systems for what-if simulations, conversational analytics, autonomous reporting, or decision support.

• Familiarity with Vertex AI and Google Cloud Platform, or equivalent enterprise AI platforms.

• Experience with UI/UX design, customer journey mapping, and design thinking (Figma experience is a plus).

• Background in healthcare or pharmacy analytics, with a strong interest in improving outcomes through intelligent decision systems.

• Knowledge of data observability, governance, and AI ethics to ensure trustworthy, transparent decision intelligence systems.