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Health Tech, Healthcare, Software

Senior Data Scientist

United StatesFlexibleFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

Pearl is seeking a Senior Data Scientist to advance its AI-driven products in the dental healthcare space. This role involves leading data science projects, analyzing complex datasets, building statistical models, and collaborating with engineering and ML teams to productionize solutions. The ideal candidate will have a strong foundation in statistics, machine learning, Python, SQL, and cloud platforms, with proven experience in developing and deploying production-ready ML systems and MLOps practices. This high-impact position requires a blend of data science expertise, product thinking, and the ability to mentor junior team members, contributing directly to improving patient care through AI.

# 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 experience working in modern cloud data warehouses such as Snowflake
  • Experience working with cloud platforms and designing scalable data and ML solutions

# Why Pearl

  • 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
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