Description:
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
Analysis and Modelling
- 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, 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.
- 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.
- 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.
Best practices and Continuous Learning
- Showcase your aptitude for continuous learning by staying up-to-date with the latest advancements in data science and technology.
- Maintain a strong understanding of data warehousing, cloud technologies, and big data solutions, constantly updating and improving our data and analytics infrastructure.
Solutions and Business Strategy
- 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.
- Demonstrate strong communication skills, effectively translating technical insights into actionable business strategies.
API
- Develop and manage APIs for efficient data consumption, facilitating seamless integration and utilization of data across various platforms.
Communication
- Collaborate closely with data scientists and analysts, providing them with clean, structured data necessary for advanced statistical modeling and machine learning.
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 and growing familiarity with LLMs/Generative AI and potential applications.