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Real Estate Data Science Jobs in Ohio (NOW HIRING)

LHH US

Real Estate Expansion Specialist

Columbus, OH · On-site

$33 - $40/hr

The ideal candidate enjoys working with data, identifying trends, and partnering with cross-functional teams to support real estate and expansion decisions in a fast-paced environment.

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Real Estate Data Science information

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 identify investment opportunities. It involves techniques like machine learning, statistical modeling, and data visualization to support decision-making and optimize property management. Skills in data analysis tools and understanding of real estate markets are essential for data scientists in this field.

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.

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 most commonly searched types of Real Estate Data Science jobs in Ohio? The most popular types of Real Estate Data Science jobs in Ohio are:
What are popular job titles related to Real Estate Data Science jobs in Ohio? For Real Estate Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Real Estate Data Science jobs in Ohio look for? The top searched job categories for Real Estate Data Science jobs in Ohio are:
Real Estate Data Science jobs near you
Infographic showing various Real Estate Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Real Estate Expansion Specialist

LHH US

Columbus, OH

$33 - $40/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Our client is seeking a Real Estate Expansion Specialist to support strategic growth and expansion initiatives. This contract role sit in Columbus, OH and offers the opportunity to work on impactful projects involving market analysis, site selection, and growth planning. While the position is initially structured as a contract assignment, there may be opportunities for extended engagement based on business needs and performance; however, long-term employment is not guaranteed.
The ideal candidate enjoys working with data, identifying trends, and partnering with cross-functional teams to support real estate and expansion decisions in a fast-paced environment.
Responsibilities
  • Support forecasting and projection modeling for potential new site openings and growth initiatives.
  • Analyze demographic, geographic, and market data to identify trends and expansion opportunities.
  • Prepare market analyses and site recommendations using internal and external research.
  • Maintain and improve datasets, mapping tools, and reporting resources used for planning and decision-making.
  • Perform pre-opening and post-opening evaluations to measure site performance and business impact.
  • Collaborate with internal teams and external partners to support real estate planning and execution activities.
Qualifications
  • Bachelor's degree in Business, Real Estate, Finance, Analytics, Geography, or a related field
  • Strong analytical skills and experience working with large datasets related to real estate
  • Proficiency in Excel, including pivot tables, VLOOKUPs, and data analysis functions
  • Experience with data visualization, mapping, or GIS tools is a plus
  • Ability to interpret data and present actionable insights to stakeholders
  • Excellent organizational skills with the ability to balance multiple priorities in a deadline-driven environment.
Why Consider This Opportunity?
  • Gain hands-on experience supporting strategic growth and expansion initiatives.
  • Work with a collaborative team on high-impact projects.
  • Exposure to real estate planning, market analysis, and site selection activities.
  • Potential for assignment extension or future opportunities based on business needs and performance.
Pay Details: $33.00 to $40.00 per hour
Search managed by: Jessica Robbins
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
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