SmarterDx is looking to optimize the business impact of deployed machine learning models by refining decision frameworks and accelerating model development and deployment.
Requirements
- 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
- 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
- Familiarity working with large-scale data warehouses such as Snowflake
- Knowledge of explainable AI techniques and model interpretability best practices
Responsibilities
- Develop and refine modeling approaches in close collaboration with the Machine Learning Research team
- 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
- 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
Other
- 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment
- Ability to translate business objectives into data science problems and effectively communicate results to stakeholders
- 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
- Experience in healthcare or revenue cycle management
- Previous experience working in a startup or high-growth environment
