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Pearl

Senior Data Scientist

Senior Data Scientist leads data science projects for AI-driven dental products, analyzes complex datasets, builds statistical models, and productionizes ML solutions. Requires 8+ years experience, Python/SQL proficiency, and MLOps expertise.

United StatesData ScienceRemote8+ YOE
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About the role

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

Skills

PythonSQLSnowflakeMachine LearningStatisticsMLOpspandasscikit-learnCloud Platforms

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