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Part Time Real Estate Data Science Jobs (NOW HIRING)

Kaplan, Inc.

Part-Time Real Estate Instructor

$20 - $40/hr

Job Title Part-Time Real Estate Instructor If you are enthusiastic about education, using your skills and talents to help improve people's lives, and interested in working on a team of professionals ...

Kaplan, Inc.

Part-Time Real Estate Instructor

$20 - $40/hr

Job Title Part-Time Real Estate Instructor If you are enthusiastic about education, using your skills and talents to help improve people's lives, and interested in working on a team of professionals ...

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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 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 cities are hiring for Part Time Real Estate Data Science jobs? Cities with the most Part Time 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 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
Part-Time Real Estate Instructor

Part-Time Real Estate Instructor

Kaplan, Inc.

Remote

$20 - $40/hr

Part-time

Posted 15 days ago

Job description

Job Title
Part-Time Real Estate Instructor
Job Description
If you are enthusiastic about education, using your skills and talents to help improve people's lives, and interested in working on a team of professionals at a globally respected education organization- you've found the right place. At Kaplan, we're passionate about what we do and who we do it for.
Unyielding determination to make a difference in people's lives through the power of education - that is Kaplan. For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are the intersection of education and technology, providing our students and clients with an experience that not only allows them to achieve their goals but also ignites lifelong learning. Kaplan's culture of collaboration, innovation, and creativity truly makes Kaplan a great place to work and positions us to continue to deliver a best-in-class educational experience.
The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.
Part-time Real Estate Instructors are responsible for all aspects of live and live online course delivery for Real Estate classes. These individuals will serve as subject matter experts and student advocates while delivering exceptional in-person/live online classroom experiences to Kaplan students.
Primary/Key Responsibilities
  • Serve as a real estate industry expert by staying abreast of industry trends, regulations, and best practices to enhance instructional expertise.
  • Create a positive and inclusive learning environment that fosters student engagement and participation.
  • Maintain a strong focus on mentoring and driving student success
  • Effectively manage classroom dynamics and ensure regulatory requirements are adhered to.
  • Address student questions throughout their learning journey and in follow-up as requested
  • Adjust teaching style based on feedback and constructive criticism
  • Adhere to specific requirements as dictated including but not limited to attendance, time schedule, and student concerns
  • Collaborate with other instructors and staff to ensure a cohesive and effective student learning experience.
  • Maintain regular communication with product line management to stay informed of curriculum updates, student progress, and classroom/schedule changes

Minimum Qualifications
  • 3+ years of industry experience in Real Estate
  • Real Estate License, State required experience, and/or education to qualify as an instructor (Real Estate License may be required, varies by state)
  • Proficient with Google, Microsoft Office Suite, and Zoom platform
  • Excellent communication skills (written and verbal)
  • Ability to effectively utilize technology
  • Adaptability to new teaching methods and alteration in course materials as needed
  • Strong interpersonal skills (live online and video) and approachability
  • Demonstrated time management and organizational skills
  • Strong presentation and teaching skills
  • Knowledge of instructional design principles and adult learning methodologies

Preferred Qualifications
  • Previous teaching or training experience preferred.
  • Previously written publications on real estate topics

#LI-Remote
The hourly range for this position is $20 - $40 per hour. Pay rate is determined by teaching experience, education, and certifications.
Location
Remote/Nationwide, USA
Additional Locations
Employee Type
Employee
Job Functional Area
Instructors
Business Unit
00079 Kaplan Professional
Diversity & Inclusion Statement:
Kaplan is committed to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations. We are an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, veteran status, nationality, or sex. We believe that diversity strengthens our organization, fuels innovation, and improves our ability to serve our students, customers, and communities. Learn more about our culture here.
Kaplan considers qualified applicants for employment even if applicants have an arrest or conviction in their background check records. Kaplan complies with related background check regulations, including but not limited to, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. There are various positions where certain convictions may disqualify applicants, such as those positions requiring interaction with minors, financial records, or other sensitive and/or confidential information.
Kaplan is a drug-free workplace and complies with applicable laws.

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