Pearl is transforming dentistry through artificial intelligence. Our FDA-cleared computer vision and AI solutions help dental professionals detect disease earlier, improve patient outcomes, and deliver better care at scale. Backed by world-class investors and trusted by thousands of dental practices, Pearl is redefining what’s possible in oral healthcare.
The RoleWe’re looking for a Senior Data Scientist to play a critical role in advancing Pearl’s AI-driven products. You’ll work closely with product, engineering, clinical, and business stakeholders to turn complex data into actionable insights and scalable solutions.
This is a high-impact role for someone who thrives at the intersection of data science, product thinking, and real-world healthcare applications.
What You’ll DoLead the design and execution of data science projects that directly impact Pearl’s AI products and business outcomes
Analyze large, complex datasets to uncover insights, trends, and opportunities
Build and validate statistical models, experiments, and predictive analyses
Partner with engineering and ML teams to productionize data science work
Define metrics and KPIs to measure product performance and clinical impact
Communicate findings clearly to technical and non-technical stakeholders
Mentor junior data scientists and promote best practices across the team
Bachelor’s or advanced degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field)
8+ years of experience in Data Science, Machine Learning, or Applied AI roles
Strong foundation in statistics, data processing, and machine learning techniques, with hands-on experience using widely adopted open-source frameworks
Proven track record of developing and deploying production-ready machine learning systems, including experience with MLOps practices.
Advanced proficiency in Python and SQL, with experience working in modern cloud data warehouses such as Snowflake
Experience working with cloud platforms and designing scalable data and ML solutions
Work on mission-driven technology that improves patient care
Join a fast-growing AI company with real clinical impact
Collaborate with a talented, interdisciplinary team
Competitive compensation, equity, and benefits
Flexible work environment
Skills Required
- Bachelor's or advanced degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Physics, Engineering, or related)
- 8+ years of experience in Data Science, Machine Learning, or Applied AI roles
- Strong foundation in statistics, data processing, and machine learning techniques
- Hands-on experience with widely adopted open-source ML frameworks
- Proven track record developing and deploying production-ready machine learning systems, including MLOps practices
- Advanced proficiency in Python
- Advanced proficiency in SQL
- Experience working with modern cloud data warehouses such as Snowflake
- Experience working with cloud platforms and designing scalable data and ML solutions
What We Do
Pearl Health builds a technology and services platform that helps primary care providers, health systems, and physician-led networks succeed in value-based care. The company combines software, financial tools, and expert practice support to enable proactive, outcomes-focused care for Medicare patients, aiming to lower costs and improve health outcomes while supporting clinical workflows at scale.
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