Staff Data Scientist

Overview

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 Clinical AI 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.

About SmarterDx

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.

This role is fully remote within the US

What You’ll Do

• Lead the development and refinement of modeling approaches in collaboration with the Machine Learning Research team while ensuring alignment with product strategy.
• Help drive rapid experimentation cycles, guiding teams on prioritization and identifying high-impact modeling opportunities.
• Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
• Partner with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
• Identify new product opportunities for ML, adapting existing approaches or developing novel techniques to deliver impact in new areas.
• Proactively identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.
• Mentor other Data Scientists on the team, providing technical guidance and fostering skill development.

What You Bring

Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, or scikit-learn.

Experience in healthcare or revenue cycle management.

Prior leadership of significant cross-team initiatives with successful outcomes.

Nice To Haves

Compensation

$220-250k base + equity incentives

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