Staff Data Scientist, SmarterDx

• 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

Desirable

• 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
• 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