Data Scientist - Multifamily Revenue Management
A
ApartmentIQPropTech, AI, Data SaaS
U.S. from coast to coastFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- PythonSQLArtificial IntelligenceMachine Learning
Requirements
- 3–5 years of experience in or alongside multifamily revenue management — as a pricing analyst, RM advisor, asset manager, or in a strategy or analytics role at a multifamily operator or tech company
- A genuine, working understanding of how pricing decisions get made: occupancy/rate tradeoffs, concession economics, net effective rent, renewal strategy, and how seasonality shapes leasing behavior
- Entrepreneurial mindset: comfortable in a fast-paced, product-building environment
- Experience applying LLMs or AI/ML techniques to accelerate research, automate analysis, or extract insights from data
- Strong quantitative and analytical skills with proficiency in SQL
- Familiarity with modern data science practices, including model building, experimentation, and validation
- Strong business acumen and ability to translate operator workflows into product features
- Excellent communication skills — comfortable explaining complex data insights to both technical and non-technical stakeholders
- Proficiency in Python or similar (bonus)
- Experience building customer-facing analytical products or dashboards (bonus)
Responsibilities
- Research and experiment with multifamily datasets to identify opportunities for new product features and pricing insights
- Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ's revenue management products
- Translate revenue management workflows into scalable tools and features
- Apply LLMs and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data
- Design and run experiments to measure whether our data and recommendations actually drive better RM outcomes for customers
- Act as a subject matter expert on multifamily revenue management, ensuring the product reflects real-world operator 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 pricing methodologies
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