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Part Time Real Estate Data Science Jobs (NOW HIRING)

Agam Real Estate

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Real Estate Assistant

Los Altos, CA · On-site

$30 - $35/hr

Team Mizrahi Los Altos is a high-volume, top-producing real estate team seeking a dynamic and ... This is part time position; 10 - 15 hours a week. This is a hybrid role with a mix of remote work ...

Damon Gettier & Associates

Realtors Needed

Salem, VA · On-site

Damon Gettier and Associates Realtors, brokered by Real Broker LLC, is hiring top-notch Real Estate Agents, full and part-time, who exhibit these traits. As a Realtor on our team, you'll guide ...

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Part Time Real Estate Data Science information

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$122.7K

$196.5K

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

As of Jul 21, 2026, the average yearly pay for part time 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 does a real estate data analyst do?

A real estate data analyst collects, analyzes, and interprets data related to property markets, sales trends, and pricing to support decision-making. They use tools like Excel, SQL, or data visualization software to identify patterns and provide insights for investors, agents, or developers. Strong analytical skills and knowledge of real estate markets are essential for this role.

Can you work part-time as a data scientist?

Part-time data science roles, including those in real estate data science, are available and typically involve fewer hours than full-time positions. These roles often require strong analytical skills, proficiency in tools like Python or R, and may be suitable for individuals seeking flexible schedules or supplementary income.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. For a part-time real estate data scientist, this means focusing on the most impactful data features or insights to optimize analysis and decision-making efficiently.

What are Part Time Real Estate Data Science jobs?

Part Time Real Estate Data Science jobs involve analyzing property, market, and customer data using statistical and machine learning techniques, but on a part-time schedule. Professionals in these roles help real estate companies make informed decisions about pricing, investment, marketing, and property management. These positions typically require skills in data analysis, programming (often Python or R), and knowledge of real estate markets, but offer flexible hours to accommodate other commitments.

What are the key skills and qualifications needed to thrive as a Part-Time Real Estate Data Scientist, and why are they important?

To thrive as a Part-Time Real Estate Data Scientist, you need a strong background in statistics, data analysis, and real estate market fundamentals, usually supported by a degree in data science, statistics, or a related field. Familiarity with Python or R, SQL databases, machine learning algorithms, and visualization tools like Tableau is typically required. Strong problem-solving abilities, communication skills, and attention to detail help you effectively interpret data and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive informed decisions in the real estate sector.

What types of projects and data will I typically work with as a part-time real estate data science professional?

As a part-time real estate data science professional, you can expect to work on projects like market trend analysis, property valuation modeling, and customer segmentation. The data you’ll handle often includes property listings, transaction records, demographic statistics, and geographic information. Collaboration with real estate analysts, agents, and IT teams is common to ensure data accuracy and actionable insights. The role often requires balancing independent data exploration with regular check-ins to align on project goals and deliverables.

Is 40 too late for data science?

For a part-time real estate data science role, age is generally not a barrier if you have relevant skills such as data analysis, programming, and knowledge of real estate markets. Many professionals successfully transition into data science later in their careers by gaining certifications or building portfolios. Continuous learning and practical experience are key factors regardless of age.

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

AspectPart Time Real Estate Data SciencePart Time Real Estate Analyst
Required CredentialsBackground in data science, statistics, or related fields; proficiency in programming languages like Python or RKnowledge of real estate markets, financial analysis, and basic data skills; often requires a degree in real estate, finance, or related fields
Work EnvironmentPrimarily analytical, involving data modeling, machine learning, and statistical analysisMore focused on market research, property valuation, and financial analysis
Employer & Industry UsageUsed by real estate tech companies, investment firms, and data-driven agenciesCommon in real estate brokerages, property management firms, and investment companies

Part Time Real Estate Data Science involves advanced data analysis and modeling skills, focusing on predictive analytics and machine learning. In contrast, Part Time Real Estate Analyst emphasizes market research, property valuation, and financial analysis. Both roles support real estate decision-making but differ in technical complexity and daily tasks.

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 Part Time Real Estate Data Science jobs? States with the most job openings for Part Time Real Estate Data Science jobs include:
Part Time Real Estate Data Science jobs near you
Superior Part Time Real Estate Instructor - Greensboro/Winston-Salem

Superior Part Time Real Estate Instructor - Greensboro/Winston-Salem

Colibri Group

Greensboro, NC

Part-time

Posted 20 days ago

Job description

At Colibri Group, culture is a critical part of our collective success, and we live our values everyday: Love, Joy, Boldness, Teamwork, and Curiosity. These values guide our interactions with each other, our customers, and the community. 
 
We are currently seeking part-time Real Estate Instructors to instruct in-person and online courses for Colibri Group’s esteemed brand, Superior School of Real Estate. 
 
The instructor will use the content and course materials provided to them to teach pre-licensing, continuing education, and post licensing courses. Our instructors help students understand material by leading insightful lessons, providing real-world examples, and answering questions. 
 
This is a part-time, employee position with an estimated time commitment of up to 29 hours per week. Classes are scheduled in the mornings, evenings, and weekends, and the length of each class is dictated based on the number of required hours. The instructor is paid an hourly rate based on the number of hours in the class. 
Position Requirements & Major Responsibilities
  • Instruct assigned courses according to the course plan  
  • Actively engage with students, both in the classroom and online 
  • Utilize strong understanding with webinar/livestreaming technology and online instruction  
  • Recommend strategies for success and assist students in meeting course objectives  
  • Participate in faculty curriculum and ad-hoc meetings 
Qualifications
  • Minimum 3-5 years of experience as a licensed real estate salesperson, broker, or attorney required. 
  • Active NC real estate license (salesperson or broker) required. 
  • DREI certification preferred.  
  • Previous instruction and/or training experience strongly preferred. 
  • State approval to teach pre-licensing, continuing education, and post licensing.  
  • Flexibility to teach weekend and evening classes. 
  • Computer with an HD camera and microphone required. 
  • Quiet, dedicated office space with strong internet connection required. 
  • Ability to instruct in an onsite classroom and via Zoom required. 

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.