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Real Estate Data Science Jobs in California (NOW HIRING)

HR&A Advisors

Analyst, Real Estate

Los Angeles, CA · On-site

$83K - $95K/yr

Demographic data analysis * Statistical analysis and econometrics * Infrastructure funding and ... Master's degree in Real Estate Development (MRED), Business Administration (MBA), Urban Planning ...

HR&A Advisors

Analyst, Real Estate

Los Angeles, CA · On-site

$83K - $95K/yr

Preparation of real estate pro formas for both market rate and affordable development ... Demographic data analysis * Statistical analysis and econometrics * Infrastructure funding and ...

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All JobsReal Estate Data Science JobsReal Estate Data Science Jobs in California

Real Estate Data Science information

See California salary details

$37K

$121.1K

$193.9K

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

As of Aug 20, 2026, the average yearly pay for real estate data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 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 California?

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

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

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

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

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

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

Cities in California 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 California as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

California Licensed Real Estate Agent

Marshall Reddick Real Estate

Los Angeles, CA

$100K - $400K/yr

Contractor

Re-posted 26 days ago

Job description

No phone calls or emails from recruiters or employment agencies. Do not contact us with unsolicited services or offers. All candidates must apply directly.
 
Who We Are
Here at Marshall Reddick Real Estate we are a fast-paced, software-centered, and rapidly changing full-service residential real estate investment firm. We provide multiple services to our clients including real estate brokerage, property management, private lending, and investment funds. We have a team of 150+ members across 9 offices in CA, TX, FL, and TN. Founded in 1979, we are committed to our mission to be the bridge connecting each client to financial independence through education, mentorship, and by providing a trusted system of buying, selling, and managing real estate and mortgages nationwide.

The Opportunity 
We're searching for a self-driven Real Estate Agent to join our ever-expanding team! The perfect candidate is an experienced salesperson who loves a fast-paced work atmosphere. You are passionate about success, have a powerful work ethic, and are willing to put in the effort. You will be given a regular flow of leads, including landlords and tenants who need to purchase a home or property, and property owners who need to list properties that we currently have under management.
 
As a comprehensive residential Real Estate and Property Management company with more than 3000 properties under management, we have the ability to offer you quick payment with multiple lease listings monthly as well as listing presentation opportunities with our Business Development Team.
 
Commission-Based Compensation through: 
 
- Investment property transactions 
- Tenant/Homebuyer conversions 
- Lease Listings 
 
What Sets Us Apart from Other Brokers:
- We provide a wide array of income generating opportunities to include company generated investor purchases and listings, owner lease listings, tenant/homebuyer conversions, and more!!
- Immediate access to our CRM with 50,000+ contacts ready to hear from you
- NO DESK FEES: We do not charge desk fees, admins fees, or monthly fees
- 10+ transactions on average per agent, annually
- Proven track record of developing Top Performing Agents
- Weekly sales meetings with our broker
- Weekly hands-on coaching and mentoring-
 
This is a 1099 commission-based opportunity with uncapped earning potential!
 Average annual earning potential: $100,000 - $400,000+ 
What You'll Do
  • Prospect pre-qualified leads generated by sales agents to convert them into new clients and schedule listing appointments
  • Handle all aspects of MLS and marketing listings, such as completing listing paperwork, posting to MLS and social media, and implementing a marketing plan to ensure quick sales
  • Work closely with Buyers' Agents to negotiate contracts to closing
  • Schedule and conduct listing presentations with potential sellers to promote exceptional customer service
  • Provide sellers with a clear listing presentation that includes key selling points and the suggested asking price
  • Build and maintain client relationships
  • Buyer tours, listing presentations, and open houses
  • Self-motivated with the ability to work independently with high autonomy
What Qualifies You
  • Active California real estate license
  • Use of CRM, AppFolio, ZipForms, and MLS is a plus
  • One year experience in real estate
  • Advanced experience of Microsoft Office Suite
What Sets You Apart
  • Strong communication skills, time management skills, and interpersonal skills
  • Ability to work on your own and motivate yourself
  • Property management and leasing experience
$100,000 - $400,000 a year
This is a 1099 commission-based opportunity with uncapped earning potential!
Average annual earning potential: $100,000 - $400,000+ 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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