[Hiring] Data Scientist @Pearl Certification

Role Description

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.
• Developing new performance metrics.
• Acting as the primary technical liaison for external research partners.
• Contributing to the dissemination of findings through white papers and publications.

Qualifications

• 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.
• Demonstrated hands-on experience with causal inference methods — regression analysis, propensity score matching, and instrumental variable approaches.
• 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.
• Experience working directly with external consultants, research firms, or academic partners on collaborative analytical projects.

Requirements

• Experience with feature importance analysis and model interpretability techniques.
• Familiarity with housing, real estate, energy, or utility data (assessor records, permit data, utility billing, energy modeling).
• Experience integrating or evaluating climate/environmental risk data into predictive models.
• A track record of authoring or co-authoring published research.
• Experience working with ambiguity and scale - large datasets, real-world conditions, innovative methodology.
• Comfortable working semi-independently, with support and partnerships.

Benefits

• Salary expected in the range of 155k-175k, based on candidate experience and local market conditions.
• Medical, vision and dental coverage provided at no cost for employees and their families (with an option to purchase upgraded coverage at a minimal cost to employee).
• FSA, HSA, and dependent care accounts.
• Life insurance coverage.
• Employer paid cell phone service.
• 401(k) with employer match up to 4%.
• Stock options.
• 15 vacation days during the calendar year, plus holidays (including the week between Christmas and New Year’s Day), a floating holiday for your birthday, sick days, and paid parental leave.
• Flexible work environment: work remotely from anywhere within the U.S.