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Evening Real Estate Data Science Jobs (NOW HIRING)

$80 - $150/hr

Knowing where and how to source real estate data for standard studies and building studystructureindependently. * Writing analysis and results in client-ready form and contributing to internal ...

Work closely with data science and engineering to translate real estate domain requirements into specs, models, and evaluation frameworks they can build and test against * Drive alignment across ...

Real Estate Portfolio Manager

San Francisco, CA · On-site

$247.50 - $302.50/hr

Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations * Conduct in-depth market analyses including competitive ...

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

Showing results 21-40

Evening Real Estate Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Sep 5, 2026, the average yearly pay for evening 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 is an evening real estate data scientist?

An Evening Real Estate Data Scientist is a professional who applies data science techniques to analyze and interpret real estate data, typically working during evening hours. Their responsibilities often include examining property trends, evaluating investment opportunities, and creating predictive models to assist real estate companies or clients in making informed decisions. Working in the evenings can accommodate clients across different time zones or support organizations that operate outside standard business hours. These data scientists need strong analytical, statistical, and programming skills, often using tools like Python, R, and SQL. Their insights help optimize property valuation, marketing strategies, and operational efficiencies in the real estate sector.

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

To excel as an Evening Real Estate Data Scientist, you need strong analytical skills, experience in statistical modeling, and a background in real estate, typically supported by a degree in data science, computer science, or a related field. Proficiency with tools like Python, R, SQL, and real estate analytics platforms such as CoStar or Zillow is essential, as well as familiarity with machine learning frameworks. Excellent problem-solving, communication, and time management skills help you translate complex data into actionable business insights, especially when working independently or on flexible evening schedules. These competencies are critical for providing accurate, timely analysis that supports strategic decision-making in the real estate sector.

What are the typical collaboration dynamics for an evening real estate data science role?

In an Evening Real Estate Data Science role, you will often work closely with real estate analysts, property managers, and IT professionals to deliver data-driven insights outside of standard business hours. This unique schedule allows you to process and analyze large datasets with minimal interruptions while providing timely updates for teams starting their day. Regular communication is maintained via digital channels, and you may participate in virtual meetings or handoff sessions to ensure seamless workflow continuity. Collaboration is key, so strong remote communication and documentation skills are essential for success in this role.

How is data science used in real estate?

In real estate, data science is used by professionals such as data scientists to analyze market trends, property values, and customer preferences. They utilize tools like machine learning algorithms and geographic information systems (GIS) to forecast prices, identify investment opportunities, and optimize pricing strategies.

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

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

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

Real Estate Partnerships Manager (contract)

Canva

Austin, TX

Full-time

Medical, Retirement

Posted 9 days ago


Job description

Job Description

Join the team redefining how the world experiences design.

Hello, g'day, mabuhay, kia ora, , hallo, vitejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.

Where and how you can work

Our global HQ is in Sydney, Australia, and as we continue to grow in our largest global market, we've made our way from down under to San Francisco.
Our Jackson Square campus blends the neighborhood's vibrant downtown charm with Canva's signature flair. The space is designed for both deep work and collaboration, along with spaces for Canvanauts to relax, recharge, and connect. We offer flexibility in how and where you work. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What you'd be doing in this role

Real Estate is Canva's largest vertical by revenue among our top accounts, and our Listings App is the reason enterprise real estate customers choose us. As we scale this vertical, we need someone to own the MLS onboarding experience end-to-end - coordinating across MLSs, brokerages, our data partner Constellation Data Labs, legal, finance, and engineering to get every customer live faster. That's where you come in.
As Canva scales, change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavor of the type of things you'll be working on when you start, but this will likely evolve.

  • Own MLS onboarding end-to-end: Be the single point of accountability from the moment a deal closes - coordinating kickoff calls, tracking every active case, and keeping customers, MLSs, brokerages, and internal teams aligned through to go-live.

  • Navigate forms, agreements, and vendor registration: Complete MLS vendor questionnaires, prepare data license agreements and secure the necessary approvals, manage fee payments, and act as an authorized signer for Canva across MLS partnerships.

  • Build the playbook, then run it: Design and own a repeatable, documented onboarding process that scales with Canva's growth in this vertical.

  • Own compliance and audit: Review all active MLS connections for compliance gaps, manage renewals, and partner with finance and legal to keep every connection on solid ground.

  • Be the internal MLS expert: Advise Product on data requirements and roadmap decisions, flag compliance considerations, and help the team understand what great looks like for this space.

  • Drive automation and efficiency: Continuously look for ways to cut onboarding time and reduce manual steps in the process.

  • Manage and Grow Canva's PropTech Partner Ecosystem: Help identify and stand up new real estate data partnerships that deepen engagement and drive growth across the vertical. Including representing Canva at industry conferences and events.

You're probably a match if

We're looking for someone who knows the MLS world inside and out - with real relationships across the landscape, a sharp understanding of data licensing and compliance, and the process discipline to navigate a complex, multi-party ecosystem without dropping a ball.

  • Deep MLS expertise: 5+ years working directly with or within MLSs, real estate data providers, or real estate technology companies, with strong relationships across the industry.

  • Technical fluency: Solid knowledge of US MLS operations - IDX/VOW licensing, RESO standards, brokerage data release agreements, and the compliance requirements that come with them.

  • Legal and commercial comfort: You understand the legal considerations around MLS partnerships and are comfortable representing Canva as an authorized signer in negotiations and onboarding forms.

  • Process builder: You've built or run complex, multi-party workflows before (Airtable or similar tools are your friend), and you know how to bring order to ambiguity rather than waiting for someone else to write the playbook.

  • Communicator and translator: You can turn complex MLS requirements into clear, actionable briefs for legal, product, and engineering audiences, and represent Canva professionally in external negotiations.

  • Self-directed and detail-oriented: You prioritize a complex, high-stakes workload without being chased, and nothing falls through the cracks on your watch.

  • Industry Connections: you have deep industry connections with PropTech companies such as Cloze, Rechat, MoxiWorks, Lofty, Local Logic, and LiveBy.

  • API/MCP Fluency: You understand the basics of REST APIs, AppSDKs, and MCPs.

  • AI Power User: You use AI beyond the chatbot. You understand Claude Cowork or ChatGPT Work at the Agentic level. You build Skills and Scheduled Tasks to multiply your output.

  • Bonus: Experience with Constellation Data Labs, Cotality, or similar MLS data aggregators; familiarity with CREA or Canadian MLS systems; background in real estate law or data compliance.


About the team

As Real Estate Partnerships Manager, you'll be the single owner of MLS onboarding and Real Estate Tech Partners at Canva - the connective tissue between Sales, Legal, Product, our data partner Constellation Data Labs, MLSs, and our customers. You'll start by taking full ownership of every active MLS onboarding case, auditing existing connections, and building a documented, repeatable process from the ground up. From there, you'll expand your impact to existing/new real estate partnerships that help our customers get more value from Canva and drive growth across the vertical.
This is a role for someone who thrives in ambiguity, builds trust across a wide range of stakeholders, and takes real ownership of a process that today depends on no one in particular - and soon, will depend on you.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

  • Equity packages - we want our success to be yours too

  • Health benefits plans to support you and your wellbeing

  • 401(k) retirement plan with company contribution

  • Inclusive parental leave policy that supports all parents & carers

  • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

  • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

At Canva we value fairness, and we strive to provide competitive, market-informed compensation whilst ensuring internal equity within the team in each region. We make hiring decisions based on your skills, experience and our overall assessment of what we observed and learnt in the hiring process. The target salary range for this position is $136,000 to $146,000 When calculating offers, we make salary decisions based on market data and candidates' skills and experience.

Other stuff to know

We make hiring decisions based on your experience, skills, merit and business needs, in compliance with applicable local laws.

We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you!

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. Please note that interviews are conducted virtually.

Check out lifeatcanva.com for more info.