1

Real Estate Data Science Jobs (NOW HIRING)

The ideal candidate thrives in a data-driven environment, communicates insights clearly, and has a strong understanding of the convenience store, fuel retail, or broader retail real estate landscape.

You'll collaborate with industry professionals, engineers, and data scientists while helping shape the future of AI-powered real estate experiences. The flexible, project-based nature of this role ...

Working knowledge of real estate data and analytics platforms including: Placer.ai, Sites USA, Crexi, and Land Glide Salary * Base salaries may vary depending on factors such as location and ...

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

Working knowledge of real estate data and analytics platforms including: Placer.ai, Sites USA, Crexi, and Land Glide Salary * Base salaries may vary depending on factors such as location and ...

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

The Senior Real Estate Analyst supports the real estate, operations and finance teams with ... This role blends data analysis, stakeholder engagement, project management, and business case ...

next page

Showing results 1-20

Real Estate Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 16, 2026, the average yearly pay for real estate data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some 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 in the Real Estate Data Science position, and why are they important?

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.

What is a Real Estate Data Science job?

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.

More about Real Estate Data Science jobs
What cities are hiring for Real Estate Data Science jobs? Cities with the most 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 Real Estate Data Science jobs? States with the most job openings for Real Estate Data Science jobs include:
Infographic showing various Real Estate Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 2% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Real Estate Specialist, Global Retail Real Estate

Real Estate Specialist, Global Retail Real Estate

Apple

Cupertino, CA • On-site

Full-time

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. We're a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways. That innovation is inspired by a shared commitment to great work and to each other. Learning from our people here means we're learning from the best!
The Real Estate Specialist will serve as a senior operational and strategic partner to the Head of Global Retail Real Estate - owning the planning infrastructure, analytical frameworks, and cross-functional coordination for the organization to operate with clarity, speed, and alignment. This person brings sharp analytical instincts, exceptional organizational fluency, and the ability to translate complex portfolio and program data into executive-ready outputs. They will be deeply embedded in the team's most consequential planning processes - from capital allocation and fleet reviews to project approval governance and the five-year strategic roadmap - and will serve as a trusted connector across Apple's global real estate, finance, and operations teams.Build and maintain reporting frameworks that track portfolio performance, project pipeline, and team KPIs - synthesizing data from across AMR, APAC, and EMEIA into executive-ready materials for quarterly business reviews and senior leadershipOwn end-to-end management of the team's core planning cycles - including Fleet Review, Capital Plan, and Five-Year Roadmap - coordinating schedules, tracking progress, and ensuring cross-functional inputs are consolidated and delivered on timeLead coordination of the Retail Project Approval meeting cadence - managing agendas, overseeing Gate Pack documentation, and driving continuous improvement in gate governance standards and materialsOwn cross-functional dependency tracking and roadmap coordination - mapping and managing shared work streams and requirements across ART, Places Central, Finance Real Estate, and other key partners to ensure alignment and on-time delivery of interdependent programsDrive end-to-end planning and execution of quarterly team meetings, leadership off-sites, and all-hands events - developing agendas, managing logistics, and producing materials that reflect team priorities and culturePartner with the Head of Global Real Estate and the People team on headcount tracking, org planning, and talent review preparation - maintaining accurate org documentation and supporting onboarding for new team members
8+ years of experience in real estate, strategy, finance, or program management at a major retailer, top-tier consulting firm, or technology companyStrong analytical skills - demonstrated ability to build and maintain reporting frameworks, synthesize complex data, and distil portfolio and program information into clear, actionable narrativesExceptional written and verbal communication skills - comfortable preparing and presenting materials for senior and executive audiences across written, oral, and formal presentation formatsHighly organized with strong program management instincts - able to manage multiple cross-functional work streams simultaneously in a fast-moving, global environmentCollaborative partner with the judgement to navigate a complex, matrixed organization and work effectively across distributed global teamsProficiency in Keynote, Numbers, and Excel; Bachelor's degree
10+ years of experience in real estate, strategy, operations, or planning with increasing scope and responsibilityBackground in retail or commercial real estate, store development, or portfolio managementExperience supporting a senior leader in a high-visibility, fast-paced environment with a track record of driving organizational program from inception through executionFamiliarity with retail project approval processes, stage-gate governance, or capital planning frameworksFamiliarity with GIS, spatial analysis tools, or real estate data platformsProficiency in SQL or Python for data analysis and reporting automationMBA or equivalent advanced degree

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976