Job description
Who We Are:
SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient 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. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.
We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:
- Integrity: Always operate with honesty and transparency so we earn the trust of our clients.
- Courage: Demonstrate the courage needed to take on a broken industry and continuously improve what we offer to optimize health outcomes.
- Together: Foster a collaborative and inclusive environment that values teamwork, respect, and open communication, and encourages creativity and diversity of thought.
Job Summary:
SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences. We are seeking an experienced Data Scientist with expertise in a broad range of machine learning technologies as we continue to expand. In this key role, you will leverage our rich data set to drive and implement a wide variety of ML-powered solutions. The position requires at least 5 years of experience in machine learning/AI development, with proven success leading impactful ML initiatives. You will work with cross-functional leaders to deliver impactful AI solutions that directly influence our business outcomes.
In order to be eligible for this position applicants 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.
What you will do:
As a member of the SmithRx Platform Engineering and AI team, you will work customer facing as well as internal tooling that leverages AI to improve productivity and quality. You will work directly with software engineers, data engineers, product managers, and subject matter experts in the definition of new generative AI capabilities able to provide our members and internal organizations with the information they need to make proper decisions.
Qualified candidates will have an in-depth knowledge of the most common machine learning algorithms and techniques, know how to train and fine-tune ML models, and design and implement ML-powered systems and tools at scale.
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.
What you will bring to SmithRx:
- 5+ years of experience in data science, machine learning/AI development, with proven success leading impactful initiatives
- MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields.
- 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 with retrieval methods e.g. using embeddings.
- Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
- 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.
Preferred Qualifications
- Experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch and MLInfra tools like (SageMaker, Bedrock or alike)
- Strong understanding of data analysis, statistical modeling, different types of anomaly and fraud detection algorithms.
- Experience with time series analysis and multivariate time series modeling.
What SmithRx Offers You:
- Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
- Flexible Spending Benefits
- 401(k) Retirement Savings Program
- Short-term and long-term disability
- Discretionary Paid Time Off
- 12 Paid Holidays
- Wellness Benefits
- Commuter Benefits
- Paid Parental Leave benefits
- Employee Assistance Program (EAP)
- Well-stocked kitchen in office locations
- Professional development and training opportunities
