Jobs · Engineering

Data Scientist - Market Research

ApartmentIQ · United States · 1 wk ago
RemoteRemoteEngineering$30/hrFull-time

About the role

We are seeking a Data Scientist to bridge the worlds of real estate acquisitions and data science. This role is ideal for someone with hands-on experience in multifamily commercial real estate, including building pro formas, analyzing deals, and leveraging market intelligence from sources such as CoStar, Yardi Matrix, and RealPage Market Analytics.

Responsibilities

  • Research and experiment with multifamily datasets to identify opportunities for new product features and insights.
  • Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ Invest Pro.
  • Translate acquisitions workflows into scalable tools and features for institutional investors.
  • Apply large language models (LLMs) and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data.
  • Create clear documentation, dashboards, and analyses to communicate findings and product opportunities.
  • Stay current on multifamily industry trends, data sources, AI/ML advances, and investment methodologies.

Qualifications

  • 3–5 years of experience in multifamily commercial real estate, with a strong background in underwriting, deal analysis, and pro forma modeling.
  • Proven experience using key market data sources such as CoStar, Yardi Matrix, or RealPage Market Analytics.
  • Strong quantitative and analytical skills with proficiency in SQL.
  • Experience applying large language models (LLMs) or AI/ML techniques to accelerate research, automate analysis, or extract insights from data.
  • Familiarity with modern data science practices, including model building, experimentation, and validation.
  • Experience collaborating across teams (investment, product, engineering, data science).
  • Strong business acumen and ability to translate investor workflows into product features.
  • Excellent communication skills with the ability to explain complex data insights to technical and non-technical stakeholders.
  • Entrepreneurial mindset: comfortable in a fast-paced, product-building environment.

Bonus Skills

  • Proficiency in Python, R, or similar.

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