Data Scientist

ApartmentIQ

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

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
  • Translate acquisitions workflows into scalable tools and features for institutional investors
  • Apply large language models (LLMs) and other AI techniques to accelerate research and automate workflows
  • Act as a subject matter expert on multifamily acquisitions
  • Create clear documentation, dashboards, and analyses to communicate findings

Requirements

  • 3–5 years of experience in multifamily commercial real estate
  • Background in underwriting, deal analysis, and pro forma modeling
  • Experience using CoStar, Yardi Matrix, or RealPage Market Analytics
  • Proficiency in SQL
  • Experience applying LLMs or AI/ML techniques to data
  • Familiarity with modern data science practices
  • Strong communication skills for technical and non-technical stakeholders

Preferred Qualifications

  • Proficiency in Python or R

Benefits

  • Remote-first work environment
  • Competitive compensation
  • Flexible vacation policy and paid parental leave
  • Medical, Dental, and Vision insurance
  • Company-paid Short-Term and Long-Term Disability
  • Basic Life Insurance
  • 401k Program

About the Company

ApartmentIQ is a profitable, growth-stage PropTech company building industry-leading martech and data products. Their ApartmentIQ platform powers smarter decisions across multifamily real estate, serving a significant portion of the NMHC Top 50.

Skills & tools

SQLLLMPython

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 013-5 years multifamily commercial real estate experience
  2. 02Underwriting and pro forma modeling expertise
  3. 03Experience with CoStar, Yardi Matrix, or RealPage
  4. 04Proficiency in SQL
  5. 05Experience with LLMs or AI/ML techniques
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