SmithRx is seeking to transform the pharmacy benefit management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service.
Requirements
- 5+ years of experience in data science, machine learning/AI development, with proven success leading impactful initiatives
- Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
- Strong mathematical background (linear algebra, calculus, probability, and statistics).
- Proficiency in Python and object-oriented programming.
- Working knowledge of MLOps to build and roll out models to production with incremental improvements.
- Strong experience working with a broad range of machine learning techniques and tools.
- Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
Responsibilities
- Design and implement end-to-end ML solutions across a variety of high-impact domains, including anomaly detection, claims optimization, and eligibility validation.
- Collaborate with software and data engineering teams to productionize ML models and integrate them into core business workflows.
- Leverage the rich data in claims to uncover new, innovative ML use cases that drive business value, improve decision-making, or optimize operations.
- Identify and prototype use cases for GenAI that could enhance customer experience, increase automation, or improve transparency in decision-making.
- Contribute to building a scalable ML infrastructure and help establish best practices in model development, evaluation, and monitoring.
- Act as a thought partner on emerging ML/AI capabilities, including GenAI, and support the team in evaluating their applicability to PBM challenges.
Other
- MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields.
- Ability to drive a project and work both independently and within a cross-functional team.
- Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience.
- Must be based in one of the following states: Arizona, Arkansas, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin.
- Discretionary Paid Time Off, 12 Paid Holidays, Wellness Benefits, Commuter Benefits, Paid Parental Leave benefits, Employee Assistance Program (EAP)
