Pearl

Compensation

Full Description

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