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Freelance Real Estate Data Science Jobs in Rutherford, NJ

Cruitin

Partner (Real Estate)

Manhattan, NY

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

CBRE

Data Operations Manager

New York, NY · On-site

You have a bachelor's degree, or equivalent professional experience, in Data Science/ Analytics, Finance, Real Estate, Technology or a related field; a data governance or data management ...

Tailored Brands

Real Estate Director

New York, NY · On-site +1

What You'll Do | Key Accountabilities • Develops comprehensive, by brand and market, real estate strategy and execution planning in conjunction with Data Analytics and FP&A partners. Market plans ...

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Freelance Real Estate Data Science information

See Rutherford, NJ salary details

$12

$20

$35

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

As of Jul 26, 2026, the average hourly pay for freelance real estate data science in Rutherford, NJ is $20.66, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $22.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Real Estate Data Scientist, and why are they important?

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.

Is 40 too late for data science?

For a freelance real estate data science role, starting a career at 40 is feasible as the field values skills, experience, and the ability to work with data analysis tools like Python or R. Many professionals transition into data science later in life, and continuous learning through online courses or certifications can help build relevant expertise regardless of age.

Can I do freelancing with data science?

Freelance real estate data science is a viable career option, allowing professionals to analyze property data, develop models, and provide insights independently. Success typically requires skills in data analysis, programming, and familiarity with real estate markets, along with tools like Python or R. Freelancers often work on project-based contracts, setting their schedules and rates based on expertise and client needs.

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.

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 is the hourly rate for a freelance data scientist?

The hourly rate for a freelance real estate data scientist typically ranges from $50 to $150, depending on experience, skills in data analysis and machine learning, and project complexity. Rates can vary based on location, specialization, and client requirements.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. For a freelance real estate data scientist, this means focusing on the most impactful data features or models that drive the majority of insights or predictions, optimizing time and resources. Understanding this principle helps prioritize tasks such as feature selection and model tuning for efficient analysis.
Freelance Real Estate Data Science jobs near you
Data Science Manager - Financial Services & Real Estate

Data Science Manager - Financial Services & Real Estate

1872 Consulting

Manhattan, NY • On-site, Remote

Full-time

Posted 5 days ago

Job description

Data Science Manager – Financial Services & Real Estate

Chicago or NYC (hybrid schedule - 3 days onsite, 2 days remote)

We focus on data-driven questions that matter to our business and can be solved through the application of data analysis, statistics, and computer programming – and are looking for someone to manage this team, while driving solutions that impact business decisions. We develop insights through alternative datasets and analytical methods to help fill in gaps in our understanding of specific assets, markets, and macroeconomic themes. We leverage geospatial, demographic, and economic data, as well as advanced analytics to evaluate live real estate deals across sectors and geographies. In other words, we sit at the intersection of quantitative and investment analysis. If you enjoy fast-paced, stimulating, quantitative work with a tangible business impact, we may be a good fit for you. 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

  • Analyze the drivers of asset performance to help the firm make better investment decisions
  • Study and identify macroeconomic themes and understand what they mean for our business
  • Forecast relevant metrics for our portfolio and investment strategy
  • Prepare visualizations that effectively communicate trends and predictions using relevant data
  • Draft opinions on data-driven conclusions that will be shared with executive leadership
  • Develop a deep understanding of multifamily investment, finance, and operations

What You Should Have

  • 5+ years of experience with Data Science, Quantitative Analysis or other relevant roles
  • 2+ years of experience leading and/or managing data science teams and solutions
  • Proficiency with R, or similar tools for predictive analytics
  • Proficiency with SQL
  • Experience working in financial services and/or real estate

Nice To Have Experience

  • Experience identifying macro-economic trends through your analysis
  • Experience working with data in cloud-based data warehouses – we use Snowflake primarily
  • Experience creating dashboards and reports with Power BI – we have other team members that focus on this but if you can contribute in this area as well, bonus points to you
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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

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