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Freelance Real Estate Data Science Jobs (NOW HIRING)

Measurabl

Principal Product Manager

Work closely with data science and engineering to translate real estate domain requirements into specs, models, and evaluation frameworks they can build and test against * Drive alignment across ...

Solomon Page

Attorney - Real Estate

Los Angeles, CA · On-site

$80 - $120/hr

We are seeking a seasoned real estate attorney who can hit the ground running, particularly on real ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Visa Hunt

Real Estate Portfolio Manager

San Francisco, CA · On-site

$247.50 - $302.50/hr

Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations * Conduct in-depth market analyses including competitive ...

New

1872 Consulting

Data Scientist

Chicago, IL

Data ScientistIf you have ever enjoyed or considered applying data science to understand the giant, tangled world of real estate - the world's largest asset class - consider this: there is almost ...

1872 Consulting

Data Scientist

Chicago, IL

Data ScientistIf you have ever enjoyed or considered applying data science to understand the giant, tangled world of real estate - the world's largest asset class - consider this: there is almost ...

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How much do freelance real estate data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance real estate data science in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is freelance real estate data science?

Freelance real estate data science involves using data analysis, statistical modeling, and machine learning techniques to help real estate professionals make informed decisions. Freelancers in this field work independently with clients such as real estate agencies, investors, or property managers to analyze market trends, predict property values, and optimize investment strategies. They often handle tasks like data cleaning, visualization, and the development of predictive models tailored to real estate data. This role requires a strong background in data science, familiarity with real estate markets, and the ability to communicate complex findings to clients.

What are the key skills and qualifications needed to thrive as a freelance real estate data scientist?

To thrive as a Freelance Real Estate Data Scientist, you need a strong background in statistics, data analysis, and domain expertise in real estate, often supported by a degree in data science or a related field. Proficiency in programming languages like Python or R, familiarity with real estate databases, and experience with machine learning tools such as scikit-learn or TensorFlow are highly valuable. Excellent problem-solving abilities, effective communication, and self-management skills help you deliver actionable insights and manage multiple client projects. These skills ensure you can analyze complex property markets, provide data-driven recommendations, and build trust with clients in a competitive freelance environment.

How do freelance real estate data scientists typically collaborate with clients and other professionals during a project?

Freelance real estate data scientists often work remotely and maintain close communication with clients, project managers, and other stakeholders through virtual meetings and collaborative platforms. They are responsible for clarifying project goals, sharing data analysis progress, and incorporating feedback throughout the process. Collaboration may also include working with real estate agents, financial analysts, or software developers to ensure accurate data integration and actionable insights. Building strong client relationships and proactively addressing questions enhances project outcomes and can lead to repeat business or referrals.

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Freelance Real Estate Data Science jobs near you

Principal Product Manager

Measurabl

Remote

Full-time

Medical, Dental, Retirement, PTO

Re-posted 16 days ago

Job description

About Measurabl
Measurabl has developed the leading ESG (environmental, social, governance) data management solution for commercial real estate-and we're looking forward to doing so much more! Our team is a diverse group of innovators, leaders, and creators who are passionate about the work we do. We believe technology plays a central role in creating a sustainable, equitable world, and we're working to build something that matters.
Overview:
We're hiring a Principal Product Manager to help define and build AI-powered capabilities across our sustainability data platform - shaping how AI shows up for the owners, operators, and investors who rely on our data every day.
You'll bring two things together: deep product experience building for real estate organizations, and direct experience building with AI. You've shipped software that proptech companies, real estate data platforms, or real estate services firms rely on, and you understand how these organizations think, buy, and adopt technology. You've also either shipped an AI-powered product or feature yourself, and you use AI seriously in how you build product - research, specs, prototyping, synthesis - and can speak concretely to how it's changed your output.
What You'll Help Define
  • Where AI belongs in the platform - identifying the highest-value places for AI to reduce manual work and surface insight across large real estate portfolios, and making the call on where it doesn't belong
  • How we evaluate and trust it - working with data science and engineering to define what "good" looks like, how we catch degradation, and when a model's output needs a human in the loop
  • The data foundation underneath it - ensuring the underlying data is structured and validated well enough to support AI-powered capabilities as they're built
  • The roadmap itself - this role has real influence over what gets built and in what order, not just execution against a predefined plan

What You'll Do
  • Shape the roadmap for AI-powered capabilities based on how real estate organizations actually work, translating real-world workflows into product requirements and measurable success criteria
  • Own features end to end, including post-launch performance: accuracy over time, edge cases, and the tradeoffs between automation and human review
  • Partner directly with customers managing billions in real estate assets to understand their needs and validate that AI-generated output meets their bar
  • Work closely with data science and engineering to translate real estate domain requirements into specs, models, and evaluation frameworks they can build and test against
  • Drive alignment across product, engineering, and go-to-market teams, often without direct authority
  • Use AI tools in your own workflow to move faster and produce better product work

Education & Experience:
We have identified the following programs, experience, and knowledge that have helped others find success in this role at Measurabl. We understand though that knowledge comes from many forms of learning and experiences. Above all, we consider a person's potential impact in the role and value their unique path to this point in their career.
  • 8-10 years in product management with a track record of shipping successful B2B products, the majority of it building for real estate organizations - proptech, real estate data/technology platforms, or real estate services firms
  • Direct experience shipping at least one AI/ML-powered feature or product in production, or demonstrable, ongoing fluency using AI to do product management work itself
  • Comfortable enough with data and models to partner with data science and ML engineers on evaluation design, without needing to build the models yourself
  • Strong analytical and quantitative decision-making skills, with the judgment to know when a simpler, non-AI approach is the right call
  • A self-starter who thrives in ambiguity, moves fast with limited resources, and is comfortable making decisions with incomplete information
  • Genuine interest in sustainability and the belief that there's real product to build at the intersection of real estate and climate data

Ideal Background Includes
  • Real Estate Investment: Private equity, asset management, investment management, or fund management
  • Commercial Lending: Debt origination, underwriting, or loan servicing with focus on financial analysis
  • Real Estate Analysis: Appraisal, consulting, research, or analytics roles involving property evaluation
  • Capital Markets: REIT analysis, real estate securities, or institutional real estate investment

What We're Looking For
  • Analytical Rigor: Comfortable with financial models, data analysis, and quantitative decision-making
  • Startup Mentality: Self-starter who thrives in ambiguity and moves fast with limited resources
  • Bias for Action: Asks for forgiveness rather than permission; comfortable making decisions with incomplete information
  • Customer-Obsessed: Deep empathy for how real estate professionals analyze deals and make investment decisions
  • Mission-Driven: Passionate about sustainability and believes technology can drive meaningful impact in real estate
  • Builder's Mindset: Excited about creating products that solve complex real estate challenges

Supervisory Responsibility:
  • This job has no supervisory responsibilities

Perks & Benefits:
  • Flexible Time Off
  • Health and Dental Insurance + HSA options
  • Pet Insurance
  • Holiday Paid Time Off
  • Matching 401k
  • 100% fully remote
  • Flexible work hours
  • Monthly phone & internet reimbursement
  • Stock options
  • Bonus potential

Equal Employment Opportunity:
Measurabl, Inc. provides equal employment opportunities to all employees and applicants in all company facilities without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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