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Data Scientist - Market Research

Rentable

Salary not specified
Sep 26, 2025
Remote, US
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Rentable is looking to solve the problem of providing innovative data-driven products for investors in the multifamily commercial real estate industry

Requirements

  • 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)
  • Proficiency in Python, R, or similar

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
  • Act as a subject matter expert on multifamily acquisitions, ensuring the product reflects real-world investor needs
  • 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

Other

  • Applicants must be authorized to work for any employer in the U.S.
  • We are unable to sponsor or take over sponsorship of an employment Visa at this time
  • 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
  • Strong business acumen and ability to translate investor workflows into product features