Data Scientist

Join to apply for the Data Scientist role at BGIS . Who We Are BGIS is a leading provider of customized facility management and real estate services. With a combined team of over 6,500 globally, we relentlessly focus on enabling innovation through the services we deliver, while actively looking for new opportunities that enable innovation for our clients’ businesses. Globally, we manage over 320 million square feet of client portfolios across 30,000+ locations in North America, Europe, Middle East, Australia and Asia. Job Description Summary We are seeking a highly skilled and experienced Data Scientist to join our dynamic and growing applied data analytics team. As a Data Scientist at BGIS, you will help us build our Analytics and AI Innovation Hub in Toronto. You will play an impactful and critical role in leveraging our unmatched internal datasets with external data to drive insights, inform strategic decisions, and optimize our operations. Key Duties & Responsibilities Utilize your educational background in a quantitative field to analyze complex datasets and develop predictive models. Apply over five years of experience in analytics to solve real-world problems using machine learning, artificial intelligence, linear programming, generative AI, NLP, or other data science techniques. Design, build, and maintain robust data pipelines and ETL processes, ensuring data accuracy and accessibility for analysis and modeling. Create optimization models for strategic resource allocation and operational efficiency. Develop an AI‑driven asset management model focused on total cost of ownership and performance optimization. Showcase continuous learning by staying up-to-date with advances in data science and technology. Maintain strong understanding of data warehousing, cloud technologies, and big data solutions. Identify opportunities for improvement and drive data‑driven decisions. Collaborate with cross‑functional teams to implement data‑driven solutions. Translate technical insights into actionable business strategies. Develop and manage APIs for efficient data consumption. Collaborate closely with data scientists and analysts to provide clean, structured data for advanced modeling. Knowledge & Skills Bachelor's degree or higher in a quantitative field (Computer Science, Mathematics, Engineering, etc.). Over ten years of experience in data analytics with a strong emphasis on machine learning, AI, or data science. Proven track record of delivering actionable insights and solutions from complex data and analytic models. A natural curiosity and enthusiasm for tackling challenging problems. Excellent communication skills with the ability to convey technical concepts to non‑technical stakeholders. Proficiency in data manipulation and programming languages such as Python, R, or SQL. Familiarity with data visualization tools and techniques (Power BI, Tableau, Python libraries). Exposure to and growing familiarity with LLMs/Generative AI and potential applications. Licenses and/or Professional Accreditation None required. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries Facilities Services BGIS is an equal opportunity employer and we welcome you to apply for a position with us If you require accommodation during the recruitment process, please contact us at askHR. Upon request for accommodation, we will consult with the applicant in question and provide, or arrange for the provision of, suitable accommodation in a manner that takes into account the applicant’s accessibility needs due to disability. BGIS est un employeur qui respecte l'égalité des chances et nous vous invitons à postuler pour un poste chez nous Si vous avez besoin d'un accommodement pendant le processus de recrutement, veuillez nous contacter à askHR. En cas de demande d'accommodement, nous discuterons avec le candidat en question et fournirons, ou ferons en sorte de fournir, un accommodement approprié d'une manière qui tiendra compte des besoins d'accessibilité du candidat en fonction de son handicap. #J-18808-Ljbffr