Staff Data Scientist

Job Responsibilities

• Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models.
• Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
• Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements.
• Spearhead the strategic design of data campaigns needed to advance AI algorithms.
• Develop comprehensive data curation strategies for improvements to AI models.
• Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
• Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations.
• Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications

• Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
• Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry.
• Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code.
• Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
• Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
• AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
• (Preferred): Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
• Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
• Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.