Data Scientist - Multifamily Analytics

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

The company 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’re hiring a multifamily domain expert to improve the accuracy of the data behind the company’s market surveys, revenue management, market analytics, and AI agents. Your first focus will be occupancy: understanding where our estimates diverge from operator-reported results and developing ways to close those gaps.

You’ll combine knowledge of how properties market and lease apartments with hands-on analysis and AI-assisted prototyping. You’ll investigate messy data, test explanations, validate improvements, and partner with engineering to bring them into production.

This role is designed for someone in multifamily acquisitions, asset management, or operations who has a strong analytical foundation and wants to build deeper technical skills.

What You’ll Work On

• Occupancy. Find where our occupancy reads miss, including properties that hide available units, and improve how we estimate true availability.

• Unit mix. Estimate the share of units by bedroom group, which depends on deduplicating and matching units across sources.

• Leases signed. Better separate true leases from delistings and data gaps when a unit stops being listed.

• Source selection. Decide which data source is most accurate for each attribute.

• Anomaly detection. Catch bad data and unusual operator behavior before it reaches customers.

Responsibilities

• Improve the logic and systems that turn raw multifamily data into the metrics our customers see.

• Benchmark our outputs against real operator data, diagnose where and why they miss, and design the fix.

• Prototype new analytics and data logic with AI coding tools like Claude Code or Codex.

• Partner with engineering to get your work deployed and monitored in production.

• Bring multifamily judgment to spot operator behaviors and data artifacts a generalist would miss.

• Share findings clearly with product, engineering, and leadership.

Qualifications

• 3+ years of multifamily experience in acquisitions, asset management, revenue management, or operations. This is required.

• Deep knowledge of how properties market and lease units: occupancy, leased vs. occupied, concessions, unit mix, lease-ups, and the operator behaviors that distort them.

• Hands-on experience building new analytics tools or workflows with AI coding tools like Claude Code or Codex.

• Proven experience using data to answer hard questions and drive decisions.

• A strong quantitative lean and a real desire to grow into a technical role.

• Self-starter who can own a problem end to end in a remote environment.

Nice to Have

• Working knowledge of SQL, Python, or similar.

• Familiarity with the multifamily data ecosystem: PMSes (Yardi, RealPage, Entrata, ResMan), CRMs (Knock, Funnel, EliseAI), and market data platforms (CoStar, Yardi Matrix, RealPage Market Analytics).

• Exposure to data matching, deduplication, or anomaly detection problems.

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.