Data Scientist

Description

ROLE:                                Data Scientist    

REPORTS TO:                  Director, Data Science       

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

• 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.

• 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.