Real Estate Data Scientist (Remote)

Reonomy; New York (NY); Remote; USD 60,000 - 142,000; Full time

Job summary

A leading company in the commercial real estate sector is seeking a Real Estate Data Scientist for their New York office. The role involves data analysis, modeling, and supporting decision-making processes. The ideal candidate will have strong Excel and VBA skills, experience with data analysis tools, and a passion for real estate and data science.

Benefits

Competitive compensation

Incentive and bonus plans

Flexible work model

Growth and development opportunities

Qualifications

• Strong Excel proficiency and experience with VBA required.
• Valuation and real estate consulting experience is an asset.
• Experience with Python or R for data analysis is a strong asset.

Responsibilities

• Maintain existing analysis templates and create efficiencies.
• Using quantitative analysis techniques to check raw data for anomalies.
• Support data ingestion pipelines and database management.

Skills

Critical Thinking

Presentation Skills

Project Management

Data Analysis

Data Visualization

Education

Bachelor's degree in real estate, data/computer science

Tools

Excel

VBA

Python

R

SQL

AWS

Job description

Job Category:

Valuations & Appraisals

Pay Grade Range:

$60,840.00 - $141,960.00

Disclaimer: The base salary range represents the low and high end of Altus Group’s “Pay Grade Range” for this position in the primary work location. Actual hiring salaries will vary depending on factors including but not limited to work experience, and geographic market data for the role. The Pay Grade Range listed above does not reflect Altus Group’s total compensation for employees. Other rewards may include an annual bonus, flexible work arrangements, and region-specific benefits.

Unlock your Altus Experience!

If you’re looking to advance your career in data analytics, expertise, and technology for the rapidly growing global CRE market, there’s no better place than Altus Group. At Altus, our work is purposeful. Every day, our employees drive impact, innovate, and shape the global commercial real estate (CRE) and PropTech industry.

Our people-centric culture empowers you to deliver in a high trust, high performance culture, surrounded by an inclusive team that’s collaborating to modernize our industry. We invest in our people with training and growth opportunities designed to propel you further in your career while providing a flexible and progressive workplace that reflects our values and teams.

Job Summary:

Reporting into the Sr. Manager, Altus Group is searching for a Real Estate Data Scientist to join the valuation team in our New York office. The Data Scientist supports inspecting, cleansing, transforming, and modeling data to discover useful information, informing conclusions, and supporting decision-making. The procedure includes data collection, processing, exploratory analysis, modeling and algorithms, and outputs.

Key Responsibilities:

• Maintain existing analysis templates, creating further efficiencies, and leading efforts on initiatives that will complement our valuation and data platforms.

• Using quantitative analysis techniques such as: check raw data for anomalies, re-perform important calculations, check relationships between numbers that should be related predictably, and normalize numbers to make comparisons easier.

• Requires advanced working knowledge of complex Excel tasks like VBA (Visual Basic for Applications) programming, data simulation, analytics, and advanced formula usage (such as Macros, Power Query, Pivot Tables, Power Pivot, Dynamic Name Range, etc.).

• Improve client deliverables through data visualization.

• Work closely with real estate valuation colleagues to translate appraisal insights into data-driven tools, models, or dashboards.

• Support data ingestion pipelines and database management to ensure the integrity, quality, and timeliness of incoming real estate datasets.

Key Qualifications:

• Must have strong Excel proficiency and experience with VBA.

• A Bachelor's degree in real estate, data/computer science, or a related field with a minimum 3.2 GPA (knowledge in RE is a plus).

• Valuation and real estate consulting experience is an asset.

• Critical Thinking, Presentation Skills, Project Management.

• Experience with Python or R for data analysis and modeling is a strong asset.

• Familiarity with SQL and cloud-based data platforms (e.g., Snowflake, BigQuery, or AWS) is a plus.

• Strong interest in the intersection of real estate and data science, with a desire to apply technical skills to practical valuation problems.

• Willingness to work outside regular hours.

What Altus Group offers:

• Rewarding performance: We are pleased to be able to provide employees competitive compensation, incentive and bonus plans, and a total rewards package that prioritizes their mental, physical and overall financial health.
• Growth and development: As a destination for top industry talent, we’re investing in you to meet the evolving needs of our clients and deliver on your professional goals. Our Altus Intelligence Academy offers over 150,000 hours of learning materials catering to diverse stages of an employee’s career journey.
• Flexible work model: We’re modernizing our employee programs to reflect the new world of work. Our Activity-Based Work model provides you with flexibility to align your work location to the work being performed - office for connecting and collaborating, and remote for focused work.

Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Applicants with disabilities may contact Altus Group to request and arrange for accommodations.If you need accommodation, please contact us at [e-mail] or [phone].

We appreciate all applicants who take the time to apply to Altus Group. Please note that only those who are selected to move forward in the process will be contacted. Thank you.