Utilize your educational background in a quantitative field, such as computer science, mathematics, or engineering, to analyze complex datasets and develop predictive models.
Apply your expertise in analytics and machine learning to develop an AI-driven asset management model, focusing on the total cost of ownership and performance optimization.
Showcase your aptitude for continuous learning by staying up-to-date with the latest advancements in data science and technology.
Collaborate closely with data scientists and analysts, providing them with clean, structured data necessary for advanced statistical modeling and machine learning.
Design, build, and maintain robust data pipelines and ETL processes, ensuring data accuracy and accessibility for analysis and modeling.
Maintain a strong understanding of data warehousing, cloud technologies, and big data solutions, constantly updating and improving our data and analytics infrastructure.
Harness your passion for problem-solving to identify opportunities for improvement and drive data-driven decisions.
Collaborate with cross-functional teams to ensure the successful implementation of data-driven solutions.
Create optimization models for strategic resource allocation and operational efficiency.
Develop and manage APIs for efficient data consumption, facilitating seamless integration and utilization of data across various platforms.
Apply your expertise in analytics, with over five years' experience, to solve real-world problems, using machine learning, artificial intelligence, linear programming, generative AI, NLP/large language models or other data science techniques.
Requirements
python
sql
power bi
tableau
machine learning
bachelor's
A natural curiosity and enthusiasm for tackling challenging problems.
Proficiency in data manipulation and programming languages such as Python, R, or SQL.
Proven track record of delivering actionable insights and solutions from complex data and analytic models.
Familiarity with data visualization tools and techniques [Power BI, Tableau, Python libraries).
Demonstrate strong communication skills, effectively translating technical insights into actionable business strategies.
Over ten years of experience in data analytics, with a strong emphasis on machine learning, AI, or data science.
Bachelor's degree or higher in a quantitative field (Computer Science, Mathematics, Engineering, etc.).
Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
Exposure and growing familiarity with LLMs/Generative AI and potential applications.
Oversees and maintains commercial real estate properties, ensuring efficient operations and optimal performance.
Founded with a focus on providing top-tier facility management services across North America.
Specializes in integrated solutions that enhance efficiency, sustainability, and performance of assets.
Works with various sectors, including commercial, industrial, and government infrastructure.
Provides services ranging from facility management to energy optimization and project management.
Offers a range of solutions, from technical services to space planning and design.
Operates across key markets in Canada, the United States, and abroad, with a growing global presence.
Culture + Values
Customer-Centric: We put the customer at the center of everything we do, driving value for them with expertise and innovation.
Integrity: We operate in an honest, transparent, and ethical manner, ensuring trust and accountability in all our interactions.
Innovation: We embrace change and are committed to continuous improvement, leveraging new technologies and innovative solutions to deliver exceptional results.
Collaboration: We work as a team, valuing diverse perspectives and fostering partnerships to achieve shared goals.
Excellence: We strive for the highest standards in everything we do, delivering quality results and service to our clients and stakeholders.
Environment + Sustainability
2050
Net Zero Target
Commitment to achieving net zero emissions.
Reducing energy consumption and carbon emissions across all operations.
Implementing sustainable building design and energy-efficient practices to minimize environmental impact.
Developing long-term sustainability roadmaps aligned with global climate change objectives.
Investing in renewable energy solutions and energy optimization initiatives across their portfolio.
Inclusion & Diversity
Fosters a diverse and inclusive work environment where all employees feel valued, respected, and empowered.
Promotes gender equality, with specific efforts to ensure equal opportunities for women in leadership roles.
Committed to increasing the representation of underrepresented groups within its workforce, particularly in technical and management roles.