Senior Data Scientist - SmarterDx

SmarterDx , a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers .

Role

As a Senior 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.

**This role is fully remote within the US**

What You’ll Do

• Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance.
• Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development.
• Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows.
• Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
• Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
• Adapt and enhance existing modeling approaches to drive impact in new product areas.
• Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

What You Bring

• 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
• Strong proficiency in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
• Deep understanding of statistical modeling, optimization techniques, and data analysis.
• Experience working with structured and text data, including feature engineering and data preprocessing.
• Ability to translate business objectives into data science problems and effectively communicate results to stakeholders.
• Experience deploying machine learning models into production and optimizing model performance based on