ZipRecruiter

Log In

1

Real Estate Data Science Jobs in New York (NOW HIRING)

Graceful Realty LLC

Real Estate Agent

Queens, NY · On-site

Strong client service skills, including clear communication, active listening, and timely follow-up. * Ability to conduct market research, analyze property values, and explain real estate data to ...

Apple Bank

Real Estate Analyst

New York, NY · On-site

$80K - $95K/yr

... data science, and analytics, coupled with a proven ability to streamline processes and deliver ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

Apple Bank

Real Estate Analyst

New York, NY · Hybrid

$80K - $95K/yr

... data science, and analytics, coupled with a proven ability to streamline processes and deliver ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

Welltower

Senior Real Estate Specialist

Manhattan, NY · On-site

WELLTOWER - REIMAGINE REAL ESTATE WITH US At Welltower, we're transforming how the world thinks ... Through our disciplined approach to capital allocation powered by our data science platform and ...

Schacker Real Estate Corp.

Be Seen First

Commercial Real Estate Agent

Melville, NY · On-site

Maximize your productivity with our cutting-edge technology, superior market data, in-house ... real estate transactions.

CBRE

Data Operations & Domain 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 ...

Schacker Real Estate Corp.

Be Seen First

Commercial Real Estate Agent

Melville, NY · On-site

Maximize your productivity with our cutting-edge technology, superior market data, in-house ... real estate transactions.

next page

Showing results 1-20

All JobsReal Estate Data Science JobsReal Estate Data Science Jobs in New York

Real Estate Data Science information

See New York salary details

$41K

$134.3K

$215K

How much do real estate data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for real estate data science in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a real estate data scientist?

A Real Estate Data Science job involves analyzing property-related data to identify trends, predict market movements, and optimize investment decisions. Professionals in this field use machine learning, statistical modeling, and big data techniques to assess property values, rental yields, and risk factors. They work with real estate firms, investors, and lenders to make data-driven decisions, improve portfolio performance, and enhance market strategies.

What are the typical daily responsibilities of a real estate data scientist?

As a Real Estate Data Scientist, your daily tasks often include collecting, cleaning, and analyzing property and market data to identify trends and generate predictive models. You'll collaborate with real estate analysts, agents, and business leaders to translate data-driven insights into actionable recommendations, such as pricing strategies or investment opportunities. Additionally, you may develop dashboards, automate reporting processes, and stay updated on emerging data sources or analytical techniques relevant to the real estate industry. This role offers the chance to have a direct impact on business outcomes while working in a dynamic, team-oriented environment.

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

To excel in Real Estate Data Science, you need strong analytical abilities, a background in statistics or economics, and experience with data modeling or machine learning, often supported by a relevant degree. Mastery of tools such as SQL, Python or R, and familiarity with GIS software or real estate databases is highly valued, along with certifications like Certified Analytics Professional (CAP) being a plus. Effective communication, critical thinking, and cross-functional teamwork skills distinguish top performers in this field. These qualifications enable professionals to extract actionable insights from complex real estate data, directly driving informed business decisions and market strategies.

How is data science used in real estate?

In real estate, data science is used by professionals to analyze market trends, predict property values, and assess investment risks. It involves techniques like machine learning, statistical modeling, and data visualization to support decision-making and optimize property transactions.

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

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

What are popular job titles related to Real Estate Data Science jobs in New York?

For Real Estate Data Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Real Estate Data Science jobs in New York look for?

The top searched job categories for Real Estate Data Science jobs in New York are:

What cities in New York are hiring for Real Estate Data Science jobs?

Cities in New York with the most Real Estate Data Science job openings:

Real Estate Data Science jobs near you
Infographic showing various Real Estate Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Manager, Real Estate Research & Analytics

1872 Consulting

Manhattan, NY • 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
1872 Consulting logo

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

View All 1872 Consulting Jobs

Apply