# Data Scientist at Pearl Certification

- Company: Pearl Certification
- What the company does: About Pearl Founded in 2013, Pearl is a ratings and standards company building the national standard for home performance. Pearl SCORE™ rates every single-family home in the U.S. Backed by Clean Energy Ventures.
- Company website: https://pearlcertification.com
- Type: Startups
- Level: Mid level
- Location: Remote (United States)
- Work setup: Remote
- Posted: 2026-09-04
- Apply by: 2026-10-19
- Apply: https://ats.rippling.com/careers-at-pearl/jobs/5c8ddf0a-0fa9-43b6-953b-76d0cad18291
- Page: https://www.1752.vc/careers/jobs/pearl-certification-data-scientist/

## About the role

Pearl is seeking a Data Scientist to lead advanced research and predictive modeling, focusing on analyzing residential housing and energy performance data. The role involves utilizing causal inference and anomaly detection techniques to improve the accuracy of Pearl’s proprietary SCORE models and developing new performance metrics. Additionally, this position acts as the primary technical liaison for external research partners and contributes to the dissemination of findings through white papers and publications

## What they're looking for

- Master's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (or equivalent experience)
- 4+ years of applied experience in statistical analysis and predictive modeling, ideally involving large, real-world (non-experimental) datasets
- Experience with anomaly detection and outlier analysis techniques applied to large datasets
- Strong proficiency in a statistical/analytical programming language (Python or R) and SQL
- Experience validating model outputs against ground-truth or field-collected data
- Ability to translate statistical findings into clear, non-technical explanations for internal stakeholders and external partners

Tags: Standards and Research