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Pearl Health

Senior Data Scientist

Posted 2 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead data science projects to analyze complex dental and clinical datasets, build and validate statistical and predictive models, define KPIs, productionize ML with engineering/ML teams, communicate findings to stakeholders, and mentor junior data scientists to improve product and clinical impact.
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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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