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Freelance Real Estate Data Science Jobs (NOW HIRING)

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

As of Sep 5, 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.

What cities are hiring for Freelance Real Estate Data Science jobs?

Cities with the most Freelance Real Estate Data Science job openings:

What are the most commonly searched types of Real Estate Data Science jobs?

The most popular types of Real Estate Data Science jobs are:

What states have the most Freelance Real Estate Data Science jobs?

States with the most job openings for Freelance Real Estate Data Science jobs include:

Manager, Real Estate Research & Analytics

1872 Consulting

Chicago, IL • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Manager, Real Estate Research & Analytics NYC or Chicago - Hybrid WFH

We are looking for a data geek to join our Research & Analytics team to drive better insights and investment decisions on our multifamily assets. We are looking for someone that understands how to derive unique insights from real estate data, understands the various data sources available to access insights from and develops the strategy and solutions to drive value to our real estate business.

We currently leverage geospatial, demographic, and economic data, as well as advanced analytics to evaluate live real estate deals across sectors and geographies. But we are looking for someone to come in with a fresh set of eyes, evaluate how we are doing things today and advise on how we can improve going forward.

The ideal candidate is an experienced economist, statistician, data scientist, or equity researcher who has experience studying and identifying macroeconomic themes and understanding their impact on asset performance. The individual needs to be intellectually curious and passionate about solving real-world questions using data. Working for one of the world's largest owners of real estate, you will have the opportunity to raise the bar for physical asset investing.

What You'll Be Doing

  • Partnering with key stakeholders to understand business goals from research and analytics
  • Evaluating the current data sets we are leveraging, and how we're deriving insights – and analyzing our best practices through the lens of optimizing our strategy
  • Procuring strategic data sources that can add value to our research
  • Setting the strategic direction for our research and analytics approach, and working with operations to implement strategy
  • Leading a team of 2 (will grow to 4) technical data analysts to derive macroeconomic insights from real estate data
  • Constantly measuring results produced from research and analytics, and looking for ways to drive continuous improvement
  • Analyzing research and analytics findings and presenting data to key stakeholders

Skills We're Seeking

  • Bachelor's Degree
  • 5+ years of experience in economic research, equity research, or real estate data analysis – must come from real estate
  • Understanding of and experience applying analytical techniques to solve business problems
  • Comfortable working with, and combining, disparate and diverse data sources
  • Experience working with data science, data analysts or other technical analytics professionals to implement statistical analysis – management experience is not required

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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014