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Real Estate Data Science Jobs in Tennessee (NOW HIRING)

KBC Advisors LLC

Market Intelligence Analyst

Nashville, TN · On-site

$60K - $73K/yr

A bachelor's degree (preferably in a related field such as Real Estate, Data Science, or Business) required * 2 years related experience and/or training; or equivalent combination of education and ...

Outfront Media

Real Estate Coordinator

Nashville, TN · On-site

Update and maintain all Lease Files including the data entry, review and analysis of: current rental, future increases, expiration date, lease check registers, real estate taxes, parcel I.D., license ...

Holland & Knight

Paralegal - Real Estate

Nashville, TN · On-site

The Paralegal - Real Estate will assist attorneys and practice groups in real estate financing ... data, preparing document drafts, and maintain responsibility for files, calendars, and meetings.

Vanderbilt Health

Real Estate Analyst

Nashville, TN · On-site

Knowledge and understanding of a database and how data is organized so that its contents can easily ... Real Estate Contracts (Advanced): The preparation, monitoring and management of the contracting ...

Vanderbilt Health

Real Estate Analyst

Nashville, TN · On-site

Knowledge and understanding of a database and how data is organized so that its contents can easily ... Real Estate Contracts (Advanced): The preparation, monitoring and management of the contracting ...

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Real Estate Data Science information

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$34K

$111.4K

$178.3K

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

As of Sep 7, 2026, the average yearly pay for real estate data science in Tennessee is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a real estate data scientist?

A Real Estate Data Science job involves analyzing property-related data to identify trends, predict market movements, and optimize investment decisions. Professionals in this field use machine learning, statistical modeling, and big data techniques to assess property values, rental yields, and risk factors. They work with real estate firms, investors, and lenders to make data-driven decisions, improve portfolio performance, and enhance market strategies.

What are the typical daily responsibilities of a real estate data scientist?

As a Real Estate Data Scientist, your daily tasks often include collecting, cleaning, and analyzing property and market data to identify trends and generate predictive models. You'll collaborate with real estate analysts, agents, and business leaders to translate data-driven insights into actionable recommendations, such as pricing strategies or investment opportunities. Additionally, you may develop dashboards, automate reporting processes, and stay updated on emerging data sources or analytical techniques relevant to the real estate industry. This role offers the chance to have a direct impact on business outcomes while working in a dynamic, team-oriented environment.

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

To excel in Real Estate Data Science, you need strong analytical abilities, a background in statistics or economics, and experience with data modeling or machine learning, often supported by a relevant degree. Mastery of tools such as SQL, Python or R, and familiarity with GIS software or real estate databases is highly valued, along with certifications like Certified Analytics Professional (CAP) being a plus. Effective communication, critical thinking, and cross-functional teamwork skills distinguish top performers in this field. These qualifications enable professionals to extract actionable insights from complex real estate data, directly driving informed business decisions and market strategies.

How is data science used in real estate?

In real estate, data science is used by professionals to analyze market trends, predict property values, and assess investment risks. It involves techniques like machine learning, statistical modeling, and data visualization to support decision-making and optimize property transactions.

What are the most commonly searched types of Real Estate Data Science jobs in Tennessee?

The most popular types of Real Estate Data Science jobs in Tennessee are:

What are popular job titles related to Real Estate Data Science jobs in Tennessee?

For Real Estate Data Science jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Real Estate Data Science jobs in Tennessee look for?

The top searched job categories for Real Estate Data Science jobs in Tennessee are:

Real Estate Data Science jobs near you
Infographic showing various Real Estate Data Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

MAARdata Support Specialist - Real Estate

Flex HR

Memphis, TN

$39K - $47K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

This search is being conducted by Flex HR on behalf of the Memphis Area Association of REALTORS® (MAAR). Qualified candidates should submit a resume within.

Flex HR uses AI for document preparation and meeting transcription only — never to screen or evaluate candidates. All hiring decisions are made by a human recruiter. Roles may be posted on platforms like Indeed or LinkedIn, which are independent companies that may use AI in their own technology.

MAARdata Support Specialist

Memphis Area Association of REALTORS® (MAAR)   •   [Memphis, TN]

WHO WE ARE & WHAT WE DO

The Memphis Area Association of REALTORS® (MAAR) is one of Tennessee's largest local REALTOR® associations, encompassing Shelby, Fayette, Tipton, Hardin, Hardeman, and McNairy Counties. MAAR's focus is serving and representing real estate professionals as well as providing real estate information to the public. Our mission is to work in cooperation with REALTORS® to create a favorable environment for real estate commerce through legislative advocacy, standards enforcement, database management, communication, and professional development.

WHAT WE'RE LOOKING FOR

We are seeking a detail-oriented and organized MAARdata Support Specialist to assist with the management and upkeep of the property records database system available to subscribers via MAARdata.org. The ideal candidate will have strong data entry skills, an eye for detail, and a willingness to support the broader data team in ensuring the accuracy and usability of property records. This role is essential in helping maintain smooth daily operations and providing support to staff, members, and appraisers.

WHAT YOUR DAY LOOKS LIKE

  Assist with the distribution of MAARdata Residential Reports and related email communications.

  Help create and maintain parcel records using data from county plats, MLGW, and other available sources.

  Enter and maintain sales, appraisal, and MLS data, including seller concessions submitted by appraisers.

  Support annual tax roll updates and maintain current tax rates and street indexes for covered counties.

  Perform routine data quality reviews and resolve errors or inconsistencies to maintain accurate and reliable records.

  Respond to appraiser and member inquiries regarding data submissions, records, and usage.

  Contribute to special projects and support other MAARdata functions as needed.

REQUIRED SKILLS

  Strong data entry, organizational, and records management skills.

  Working knowledge of database systems and basic data processing practices.

  Effective written and verbal communication skills.

  Strong attention to detail with a consistent commitment to data accuracy and quality.

  Ability to follow established procedures, manage assigned responsibilities independently, and collaborate effectively as part of a team.

PREFERRED SKILLS

  Previous experience in real estate, property records, appraisal, or a related field.

  Familiarity with MLS systems, tax roll data, or other property information systems.

  General understanding of appraisal data, property assessments, or real estate data practices.

Compensation & Benefits:

  Competitive Compensation: $39,000 - $47,000 per year

  Medical, Dental, & Vision Plan Options

  401k Options

  Paid company holidays and Paid time off

Apply