Senior Data Scientist

Company: PEARL

Location: United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-06

About this role

# About Pearl

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 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.

# What You’ll Do

  • 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

# Qualifications

  • 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 ...

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