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Real Estate Data Science Jobs (NOW HIRING)

Maintain database by capturing key data from appraisals. * Provide assistance and advice to lenders regarding appraisal issues. * Track local, regional and state real estate data and market trends ...

Maintain database by capturing key data from appraisals. * Provide assistance and advice to lenders regarding appraisal issues. * Track local, regional and state real estate data and market trends ...

Maintain database by capturing key data from appraisals. * Provide assistance and advice to lenders regarding appraisal issues. * Track local, regional and state real estate data and market trends ...

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Real Estate Data Science information

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$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 Portfolio Manager

Real Estate Portfolio Manager

Anthropic

San Francisco, CA • On-site

Full-time

PTO

Posted 11 days ago


Job description

About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We are seeking a senior Real Estate Portfolio Manager to join Anthropic's Workplace and Real Estate team to lead strategic planning, portfolio optimization, and a team of real estate professionals across our global footprint. This high-impact role will develop comprehensive real estate strategies, conduct rigorous market and financial analyses, and deliver executive-level recommendations to our CFO and senior leadership. The Real Estate Portfolio Manager will oversee a team including a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist, building a high-performing function that brings the strategic rigor and analytical sophistication of established corporate real estate organizations to our rapidly scaling AI company.
Responsibilities:
Strategy & Executive Communication
  • Develop comprehensive real estate strategy documents that synthesize market analysis, financial modeling, and location recommendations for CFO and executive leadership review
  • Lead strategic portfolio planning including scenario modeling for growth, market entry/exit decisions, and long-term footprint optimization
  • Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations
  • Conduct in-depth market analyses including competitive positioning, labor market dynamics, talent availability, and cost-of-occupancy comparisons across target markets
  • Build and maintain sophisticated financial models for real estate decisions including NPV analysis, lease vs. buy scenarios, and total cost of occupancy projections
  • Partner with Finance on capital planning, real estate budgeting, and investment justification for major portfolio decisions

Portfolio & Program Oversight
  • Develop location strategy frameworks that align real estate decisions with business unit requirements, talent strategy, and corporate objectives
  • Oversee occupancy planning and demand forecasting efforts, translating headcount projections into actionable space requirements and timing recommendations
  • Direct lease administration strategy including portfolio risk assessment, lease restructuring opportunities, and critical obligation management
  • Establish portfolio performance metrics and reporting frameworks that provide executive visibility into real estate investments and outcomes
  • Partner with external advisors (brokers, consultants, legal) to execute strategic initiatives and negotiate favorable terms
  • Identify portfolio optimization opportunities including consolidation, expansion, or repositioning strategies that enhance operational efficiency and reduce costs

Team Leadership
  • Manage and develop a team of two direct reports: a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist
  • Set clear goals and priorities for the team, ensuring alignment with broader real estate and company objectives
  • Provide coaching, mentorship, and professional development opportunities to build team capabilities
  • Foster a collaborative, high-performance culture that emphasizes quality, accountability, and continuous improvement
  • Allocate resources effectively across strategic initiatives and operational demands
You may be a good fit if you:
  • Have 10+ years of progressive experience in corporate real estate strategy, portfolio management, or real estate finance, with at least 3-5 years in a people management role
  • Have a proven track record of developing and presenting real estate strategies to executives
  • Possess sophisticated financial modeling skills including NPV, IRR, scenario analysis, and total cost of occupancy methodologies
  • Have deep expertise in market analysis including labor economics, competitive positioning, and location strategy development
  • Are an exceptional writer who can synthesize complex analyses into compelling strategic narratives and executive-ready documents
  • Have demonstrated success building and leading high-performing teams
  • Have experience managing portfolios of significant scale and complexity across multiple geographies
  • Can operate with autonomy and drive strategic initiatives with minimal direction
  • Have strong executive presence and can confidently present recommendations to senior leadership
  • Thrive in fast-paced, high-growth environments where you can build processes and frameworks from the ground up
Strong candidates may also:
  • Have experience in high-growth technology companies navigating rapid scaling challenges
  • Hold an MBA or advanced degree in real estate, finance, or related field
  • Have relevant certifications such as CoreNet MCR or CCIM
  • Bring consulting experience from firms specializing in corporate real estate strategy
  • Have experience with international market entry and global portfolio optimization
  • Have led major strategic initiatives such as headquarters relocations, portfolio consolidations, or market expansions

The annual compensation range for this role is listed below.
For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$275,000-$275,000 USD
Logistics
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.