Data Scientist

Job not on LinkedIn

🕒 September 5

🇺🇸 United States – Remote

💵 $155k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Pearl

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🏠 Real Estate

☁️ SaaS

⚡ Energy

💰 $6.7M Series unknown on 2024-07

Real Estate • SaaS • Energy

Pearl is the national standard for home performance rating. Pearl SCORE™ measures Safety, Comfort, Operations, Resilience, and Energy for single-family homes across the United States, and the company has scored every single-family home in America. Pearl provides a public-facing Pearl app and Pearl SCORE™ reports that let buyers, homeowners, contractors, real estate professionals, and public sector partners evaluate and improve home performance. Pearl is a Certified B Corporation and offers services for homeowners to claim and update their home's performance profile, certification for contractors, a Pearl Network for real estate pros, and public-private partnership programs for residential energy efficiency. The company develops tools to help buy, improve, and sell homes with more confidence and provides third-party certification and market insights.

📋 Description

• Lead advanced research and predictive modeling focused on residential housing and energy performance data • Manage research with external consultants and statistical firms to identify correlations and causal relationships between home performance and housing-related data • Apply regression analysis, propensity score matching, and instrumental variable methods where appropriate • Analyze approximately 92 million residential SCOREs and energy models to identify inaccurate outputs • Use anomaly detection, outlier analysis, and field-collected home-characteristics data for validation • Analyze modeled energy consumption, physical home characteristics, and utility billing data to improve energy-model accuracy • Analyze relationships between field-collected performance characteristics and SCORE outputs to improve SCORE accuracy • Support development of new performance metrics, such as Total Cost of Ownership • Evaluate integration of climate-risk data into the SCORE and analyze relationships between resilience features and extreme-climate-event outcomes • Serve as primary technical point of contact for external data and statistical partners • Assist with authorship of white papers, briefs, and publications for Pearl's research page and academic journals

🎯 Requirements

• 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 • Experience involving large, real-world (non-experimental) datasets • Hands-on experience with causal inference methods, including regression analysis, propensity score matching, and instrumental variable approaches • Understanding of when correlation-based methods are and are not sufficient to support causal claims • Experience with anomaly detection and outlier analysis techniques applied to large datasets • Strong proficiency in 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 • Experience working directly with external consultants, research firms, or academic partners • Experience with feature importance analysis and model interpretability techniques preferred • Familiarity with housing, real estate, energy, or utility data preferred • Experience integrating or evaluating climate/environmental risk data into predictive models preferred • Track record of authoring or co-authoring published research preferred • Experience working with ambiguity and scale preferred • Comfortable working semi-independently, with support and partnerships preferred

🏖️ Benefits

• 100% remote work environment • Medical, vision and dental coverage provided at no cost for employees and their families • Option to purchase upgraded medical, vision and dental coverage at 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 • Paid holidays, including the week between Christmas and New Year's Day • Floating holiday for your birthday • Sick days • Paid parental leave • Flexible work environment • Broad responsibilities with high autonomy • Supportive, collaborative environment • Equal opportunity workplace • Candidates from all backgrounds and life experiences encouraged to apply