Senior Data Scientist

Pearl

4h•Remote

About The Position

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.

Requirements

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

Responsibilities

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