Senior Data Scientist

Pearl

full-time

Posted on: 2/19/2026

Location Type: Remote

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About the role

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

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningstatistical modelspredictive analysisdata processingMLOpsPythonSQLcloud data warehousesscalable data solutions

Soft Skills

communicationmentoringcollaborationbest practices promotion