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Part Time Real Estate Data Science Jobs (NOW HIRING)

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... Real Estate Assistant . The ideal candidate thrives in a fast-paced environment, is highly organized, and brings a positive, proactive attitude to the office every day. This is a part-time position ...

Real Estate Sales Agent

Blaine, MN · On-site

$84K - $113K/yr

If you are looking for a side hustle or a part-time gig, this is not the right fit. We are looking for people who are ready to go all in on a real career. Why Obvious Real Estate? We Invest in You ...

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Part Time Real Estate Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Aug 11, 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 is a part time real estate data science job?

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.

Is it possible to work part-time as a real estate data science?

Part-time roles in real estate data science are available, often requiring skills in data analysis, machine learning, and tools like Python or R. These positions may involve flexible schedules and can be suitable for individuals balancing other commitments, but they are less common than full-time roles in the field.

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.

How is data science used in real estate?

In a part time real estate data science role, data science is used to analyze property data, market trends, and customer behavior to inform investment decisions, pricing strategies, and property valuations. Skills in statistical analysis, machine learning, and data visualization tools are essential for extracting insights and supporting real estate operations.

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

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.

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:

Superior Part Time Real Estate Instructor - Lake Norman

Colibri Group

Norman, NC • On-site

Part-time

Re-posted 27 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.