Senior Data Scientist

About Pearl
Pearl is shaping the future of dentistry with a suite of AI solutions developed to establish higher standards of quality and care for patients worldwide. Since 2019, our team has engineered FDA-cleared computer vision capabilities for interpretation of 2D and 3D dental imagery — industry-leading capabilities which clinicians, practice owners, labs and insurers use to elevate the efficiency, accuracy and consistency of dental care around the world.

The Role

We’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.

Who We’re Looking For

• Lead 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

What You’ll Need to Succeed

• 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
• Strong written and oral communication skills

What We Offer

• Competitive Benefit and Compensation Offerings
• Ongoing Training and Development Opportunities
• Unaccrued, Flexible PTO
• Remote Work