Role
As a Staff Data Scientist at SmarterDx, you will play a pivotal role in training cutting-edge machine learning models and ensuring their strategic integration into our Smarter Revenue Platform. Your work will focus on maximizing the business impact of deployed models by optimizing business logic, refining decision frameworks, and accelerating the end-to-end process of model development and deployment. You will collaborate closely with cross-functional teams to enhance our models’ clinical intelligence and delight our customers. This is a high-impact role ideal for someone who thrives in a fast-paced environment and is eager to see their work translate into tangible business outcomes.
SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
What You’ll Do
What You Bring
8+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
Strong technical foundations in the Data Science & ML space:
Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, or scikit-learn.
Experience deploying machine learning models into production and optimizing model performance based on real-world feedback.
Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
Demonstrated subject matter expertise in NLP and healthcare data:
Experience in healthcare or revenue cycle management.
Experience working with structured and text data, including feature engineering and data preprocessing.
Deep understanding of statistical modeling, optimization techniques, and data analysis.
A track record of driving real-world business impact:
Prior leadership of significant cross-team initiatives with successful outcomes.
Ability to effectively communicate results to stakeholders and guide alignment as projects progress.
Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics.
A problem-solving mindset with the ability to balance technical rigor with practical business impact.
Nice To Haves
Our Tech Stack
Compensation
$200-230k base + equity incentives
Benefits