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Overnight Real Estate Data Science Jobs (NOW HIRING)

Manage regional real estate data and portfolio information systems. Real Estate Transactions: * Lead real estate transactions including acquisitions, dispositions, lease negotiations, renewals ...

$150 - $200/hr

About the Role We're hiring a Data Scientist to support Real Estate & Workplace (REW), a fast ... You'll shape REW's Data Science roadmap, identify where forecasting, experimentation, and ...

... data science to understand the giant, tangled world of real estate - the world's largest asset class - consider this: there is almost nowhere else you could work where you would have access to a ...

... data science to understand the giant, tangled world of real estate - the world's largest asset class - consider this: there is almost nowhere else you could work where you would have access to a ...

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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Overnight Real Estate Data Science information

What is the difference between Overnight Real Estate Data Science vs Real Estate Data Analyst?

AspectOvernight Real Estate Data ScienceReal Estate Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in programming languages like Python or RDegree in Real Estate, Economics, or related field; strong analytical skills
Work EnvironmentTypically in tech-driven real estate firms or data-focused teams, often involving complex modelingUsually in real estate agencies or brokerage firms, focusing on data reporting and market analysis
Employer & Industry UsageUsed by companies leveraging data science for predictive modeling and automation in real estateCommon in real estate firms for market analysis, property valuation, and reporting

Overall, Overnight Real Estate Data Science involves advanced data modeling and programming skills for predictive insights, while Real Estate Data Analysts focus on interpreting data for market trends and reporting. Both roles are essential but differ in technical complexity and scope.

What cities are hiring for Overnight Real Estate Data Science jobs?

Cities with the most Overnight 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 Overnight Real Estate Data Science jobs?

States with the most job openings for Overnight Real Estate Data Science jobs include:

Infographic showing various Overnight Real Estate Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Real Estate Portfolio Manager

Anthropic

San Francisco, CA • On-site

Full-time

PTO

Re-posted 5 days ago


Key responsibilities

  • Develop comprehensive real estate strategy documents and synthesize market analysis, financial modeling, and location recommendations for executive review

  • Oversee strategic portfolio planning, including scenario modeling, market entry/exit decisions, and long-term footprint optimization

  • Manage and develop a team of real estate professionals, setting goals, providing coaching, and fostering a high-performance culture


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.