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Data Scientist
1 month ago
**ROLE: Data Scientist**
**REPORTS TO: Director, Data Science**
**LOCATION: Remote / Corporate Office in Richmond Hill (Hybrid)**
**COMPANY OVERVIEW**
***
**What You'll Do**:
- 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.
**What You Bring to the Table**:
- 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.