Senior Data Scientist, SmarterDx

• 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
• 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment
• Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, or scikit-learn
• 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 real-world feedback
• Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices
• A problem-solving mindset with the ability to balance technical rigor with practical business impact

Desirable

• 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 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
• 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
• Our Tech Stack:
• Python
• SQL
• PyTorch
• Sagemaker
• Snowflake