Description:

Summary

We are seeking a Data Scientist/AI Engineer to develop predictive analytics, machine learning models, and AI-driven solutions that support clinical, operational, and financial initiatives across the pharmacy benefits ecosystem. This role works cross-functionally to identify opportunities, build data products, and translate insights into business impact.

In addition to traditional data science responsibilities, this position plays a key role in designing agentic workflows, integrating LLM-powered tools, and building automation that operationalizes AI throughout the organization. The role collaborates closely with the AI team to design, maintain, and continuously improve intelligent systems and AI-enabled processes.

Roles and Responsibilities

Build, validate, and deploy predictive and machine learning models supporting PBM operations.
Work with enterprise data sources including Snowflake, Azure, and Oracle Fusion.
Develop data pipelines, transformations, and analytical workflows to support real-time and batch processing.
Create dashboards, reports, and analytical artifacts using Power BI or Tableau.
Collaborate with internal business units to identify opportunities for data science and AI integration.
Translate analytics and model outputs into actionable recommendations that support strategic decision-making.
Design, build, and refine agentic workflows and LLM-based applications, leveraging frameworks such as LangChain, Semantic Kernel, or Azure AI Studio.
Implement AI agents capable of task automation, retrieval-augmented generation (RAG), and enterprise workflow orchestration.
Evaluate emerging AI technologies and prototype new capabilities for future deployment.
Work with the AI team to build scalable, reliable, and secure AI systems.

Requirements:

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
3+ years of professional experience in data science or machine learning engineering.
Strong Python (preferred) or R skills, including experience with modern ML/AI libraries.
Advanced SQL experience and comfort working in Snowflake, Azure Data services, and other cloud data platforms.
Hands-on experience with data visualization tools such as Power BI or Tableau.
Strong understanding of traditional machine learning, feature engineering, and statistical methodology.
Familiarity with LLM workflows, embeddings, vector stores, RAG, or modern AI architecture.
Experience with version control, preferably in Azure Repo or directly in Git

Preferences

Experience implementing agentic AI workflows, LLM-based tools, or AI orchestration frameworks.
Experience with Azure AI, Azure ML, Databricks, or similar environments.
Understanding of data governance, PHI/PII data handling, and HIPAA compliance within the healthcare domain.

Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This is a largely sedentary role; however, some standing, walking, bending, and reaching may be required. Regularly operates in an office or home office setting which involves utilizing a computer, mouse, keyboard, and occasionally operates other standard office equipment, such as printer, copier, phone. Travel may be required by either car or airplane, or a combination of multiple modes of transportation.

LucyRx is an independent, next-generation pharmacy benefit manager (PBM) redefining prescription care. Fueled by innovation and decades of leadership experience, LucyRx delivers better outcomes through its integrated specialty network, formulary marketplace, and next-day home delivery solutions. Powered by its proprietary AI platform, LucyIQ™, the company provides real-time insights that support evidence-based clinical decisions, clear pricing, and exceptional service from U.S.-based pharmacy technicians. Partnering with more than 60,000 pharmacies, LucyRx serves over 1,200 clients nationwide.

We offer competitive pay and benefits, and are open to discussing compensation that reflects the value you bring to our team.

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