Data Scientist

ApartmentIQ

AlabamaFull-timeMid LevelOn-site

Job Description

We’re a profitable, growth-stage PropTech company building industry-leading martech and data products, focused on AI and data SaaS with triple-digit growth. We are a fully remote team of 100+ across the U.S. with a no a**holes policy, a strong balance sheet, and a commitment to rapid growth without unsustainable capital burn. Overview 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 with property management systems. The Role We are seeking a Data Scientist to bridge multifamily revenue management and data science.

ApartmentIQ is the market intelligence layer used by operators, asset managers, and RM platforms to price millions of apartment units. This role sits at the center of making that intelligence sharper, more actionable, and more defensible. It’s ideal for someone with hands-on experience in pricing decisions for multifamily — including occupancy vs. rate tradeoffs, concessions impact on net effective rent, renewal vs. new lease strategy, and seasonality shaping leasing behavior.

You’ll apply that expertise to build data-driven products that help the industry price smarter. You will 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. 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 hire the best and pay accordingly. You’ll receive a competitive salary that reflects your impact and expertise.

Paid Time Off: Flexible vacation policy and dedicated paid parental leave to support you and your family’s milestones. Your Health Matters : Medical, Dental, and Vision insurance plans for you and your family. Peace of Mind (On Us) : 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance.

Protection for Your Whole Crew : Supplemental insurance for the unexpected, plus pet coverage options. Invest in Your Future : 401k program to help you save for the long term while helping us build the company. If you need assistance 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.

Our company will never request payment, personal information, or confidential details during the interview process. #J-18808-Ljbffr

Posted Today

Related Jobs

Data Scientist

NCBiotech

North Carolina Today
Full-time On-site Mid Level Data & Analytics

Data Scientist

BioSpace

Indiana From $100/yr Today
Full-time On-site Mid Level Data & Analytics

Data Engineer

Fieldfisher

Belfast Today
Full-time On-site Mid Level Data & Analytics

Related Searches