Data Scientist

We're Changing the PropTech Industry

We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates. 

We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.

While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital. 

About Our Products

ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily—covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.

The Role

We are seeking a Data Scientist to bridge the worlds of multifamily revenue management and data science. ApartmentIQ is the market intelligence layer that operators, asset managers, and RM platforms rely on to price millions of apartment units — and this role sits at the center of making that intelligence sharper, more actionable, and more defensible.

This is the right role for someone with real hands-on experience in how multifamily pricing decisions get made: the tradeoffs between occupancy and rate, how concessions affect net effective rent, how renewal strategy differs from new lease strategy, and how seasonality shapes leasing behavior. You'll apply that expertise to build data-driven products that help the industry price smarter.

You'll work closely with leadership, product, and engineering to design and deliver features that make multifamily pricing intelligence more actionable — and you'll be expected to use AI tools aggressively as a core part of how you work, not as an afterthought.

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 — you should be able to sit in a pricing call and immediately understand what the revenue manager is trying to solve.
• 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.

Qualifications

• 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.

Bonus Skills

• Proficiency in Python or similar.
• Experience building customer-facing analytical products or dashboards.

Why Choose Us:

• Remote-First: We offer the freedom to work from home across most of the U.S. You’ll enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together.
• Competitive Compensation: We believe in hiring the best and paying accordingly. You’ll receive a competitive salary that reflects your impact and expertise.
• Paid Time Off: Take the time you need with our flexible vacation policy and dedicated paid parental leave to support you and your family’s biggest milestones.
• Your Health Matters: Stay healthy with high-quality Medical, Dental, and Vision insurance plans for you and your family.
• Peace of Mind (On Us): We fully invest in your security with 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance.
• Protection for Your Whole Crew: Access supplemental insurance for the unexpected, plus specialized coverage to keep your pets happy and healthy, too.
• Invest in Your Future: Secure your financial goals with our 401k Program, helping you build for the long term while you help us build the company.

If you need assistance and/or a reasonable accommodation in the application or recruiting process, please contact your recruiter.

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.

We want to alert you to potential recruiting scams targeting job seekers. Please note that our company will never request payment, personal information, or any confidential details during the interview process.