ROLE: Data Scientist or Decision Scientist REPORTS TO: Director, Data Science Hybrid / Corporate Office in Richmond Hill, Ontario 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 applying 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. Venterra has an established competence in Decision Science and is investing heavily in AI - including increasing integration of agentic AI solutions in operational workflows. Current projects on AI/ML/LLM solutions have the potential to revolutionize management, customer experience, and decision optimization.

Apply machine learning, predictive modeling, and statistical analysis to develop innovative solutions that drive success in multifamily real estate. Design, build, and deploy AI agents and multi-agent workflows (AWS infrastructure), taking use cases from prototype through production. Validate scientific methodologies and project outcomes from other team members.

Contribute to the company’s large language model (LLM)



and agentic AI strategy, leveraging LLMs and retrieval‑augmented generation (RAG) to extract insights from unstructured data, automate workflows, 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 (software engineering, data engineering, DevOps, cybersecurity) to promote and implement a data‑first, AI‑first culture throughout the organization.

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 any tools such as scikit‑learn, XGBoost, PyTorch, LightGBM, pandas, and numpy. ~ Hands‑on experience building LLM‑powered applications : prompt engineering, RAG pipelines,



embeddings/vector search, and LLM evaluation.

Strands

Agents, LangGraph, LangChain) is a robust asset. ~ Intermediate to expert‑level understanding of machine learning techniques , including gradient‑boosted trees, clustering, neural networks, deep learning, and transformer architectures - and sound judgment on when to apply classical ML vs. Strong analytical and problem‑solving skills, with the ability to translate data into meaningful insights that influence business outcomes. ~ Curiosity, ownership, and a bias toward shipping production‑ready solutions - comfortable working in ambiguous, fast‑moving problem spaces. ~ Venterra Realty is a growing developer, owner, and operator of multifamily apartments with 90 mixed‑use and multifamily communities across 22 major US cities.

The Venterra

Team is focused on achieving excellence in serving its three major stakeholders: residents, employees, and investors. 2025 Best Workplaces™ for Inclusion Explore our communities at VenterraLiving.Accessibility accommodations are available on request for candidates taking part in all stages of the selection process.

Artificial

Intelligence (AI) is used during our recruitment process for this role.

- Salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses or benefits.

📌 Data Scientist F/H - Informatique de gestion (H/F) (Richmond Hill)
🏢 Canadian Software Testing Board
📍 Richmond Hill