Data Scientist

ROLE:                              Data Scientist    

REPORTS TO:                 Director, Data Science       

LOCATION:                      Remote / Corporate Office in Richmond Hill (Hybrid)      

COMPANY OVERVIEW     

Established in 2001, Venterra is a privately held multifamily real estate investment and technology company.  It is a fully vertically integrated company that leverages its sophisticated, technology-enabled platform to manage the acquisition, development, and operations of approximately 27,000 multi-family and mixed-use assets across the southern United States. Venterra has enjoyed tremendous growth and financial success over its 20+ year history. The company currently manages over $5 billion in assets and annual revenues and boasts a lifetime IRR of 18%. Having never lost any investor money, these superior results have attracted a large and committed investor base, including high-net-worth individuals and Forbes 400 billionaires.  Beyond the financial results, the company has an enviable industry reputation for being a great place to work and an exemplary leader in customer experience.

Technology is in the DNA of its founders.  The Chairman and Co-Founder holds an Engineering Degree and a Master’s Degree in Artificial Intelligence.  Earlier in their careers, the Chairman and the CEO jointly led the growth and sale of a highly successful software business focused on logistics optimization subsequently applied their business and technology acumen to the real estate industry, creating Venterra.  As a result, the organization is one of the few in the industry with its own in-house property management stack (full spectrum of applications covering rent management, pricing optimization, purchasing, utility billing, work order, and capital expenditure management etc.) resulting in greater control over its technology destiny.  The organization views this capability as a crucial competitive advantage to compete at the highest level of the industry.  Venterra has an existing competence in and is increasingly focusing attention on Data Science driven analysis and solutions. Current projects on AI/ML/LLM solutions have the potential to revolutionize management, customer experience, and decision optimization.

Armed with an exceptionally strong balance sheet, the owners at Venterra are long term thinkers - patient, prudent business managers always focused on optimizing long-term results rather than short term gain.  The owners’ commitment to Venterra’s long-term future is supported by a level of reinvestment in all aspects of the business that is unmatched in the multifamily real estate industry by any firm that approximates Venterra’s size.  This is evident in the organization’s commitment to significant technology spending, a continuously expanding geographic footprint, the buildout of a multifamily development platform to complement its extensive acquisition efforts and a market leading research team.

We’re thrilled to be recognized as a leading workplace with numerous prestigious awards year after year! In 2024 alone, Great Place to Work’s annual employee survey led to various workplace recognitions including being named one of the 2024 FORTUNE© Best Medium Workplaces, ranking #1 in our size category on the 2024 Best Workplaces in Real Estate list, and celebrated as one of People Magazine's 2024 PEOPLE® Companies that Care. Anonymous Venterra Glassdoor reviews have also resulted in our becoming a five-time Glassdoor Best Places to Work winner. 

We are looking for a Data Scientist to join our growing team, adding and augmenting the strength of our current team:

KEY JOB RESPONSIBILITIES

• Apply machine learning, predictive modeling, and statistical analysis to develop innovative solutions that drive success in multifamily real estate.
• Explore and master emerging technologies to integrate them into your solutions.
• Validate scientific methodologies and project outcomes from other team members.
• Collaborate on developing models that enhance rental pricing optimization, demand forecasting, and property management efficiency.
• Contribute to the company's large language model (LLM) strategy, leveraging LLMs to extract insights from unstructured data and improve decision-making processes.
• Use statistical methods and techniques to transform large datasets into actionable insights, supporting data-driven decisions across areas like occupancy, tenant behavior, and operational efficiency.
• Work with cross-functional teams to promote and implement a data-first culture throughout the organization.

CANDIDATE PROFILE

• A PhD or Master in a quantitative discipline such as mathematics, science, engineering, statistics, AI, computer science, or a related field is strongly preferred. However, candidates with a Bachelor's degree with relevant experience will also be considered.
• 5+ years of relevant experience in predictive modeling, machine learning, and advanced statistics to solve business problems.
• Proficiency in Python, along with experience using tools such as scikit-learn, XGBoost, PyTorch, LightGBM, pandas, and numpy. Experience with AWS is a plus.
• Intermediate to expert-level understanding of machine learning techniques, including clustering, decision trees, neural networks, linear and non-linear programming, deep learning (ANN, RNN, CNN), reinforcement learning, and large language models.
• Strong analytical and problem-solving skills, with the ability to translate data into meaningful insights that influence business outcomes.
• An insatiable curiosity and a passion for challenging the status quo.
• Excellent communication, time management, and organizational skills.

 

This is an opportunity to join an industry leading company that values innovation and agility, while maintaining financial strength that allows us to make bold investments in technology that will shape the company and the industry we operate in.

Venterra Realty is an equal opportunity employer. Accessibility accommodations are available on request for candidates taking part in all stages of the selection process. #LI-Hybrid