About Company
Propel your career to new heights as you spearhead AI innovation with Hiring.zycto. We’re a forward-thinking organization dedicated to leveraging cutting-edge data science to solve complex challenges and drive impactful change. For a Principal Data Scientist specializing in AI, this means access to rich datasets, advanced computational resources, and a collaborative culture that champions bold ideas. Join us in translating intricate data into actionable intelligence, influencing strategic decisions, and pioneering breakthroughs that resonate across our diverse operations. We seek leaders who thrive on pushing boundaries and making a tangible difference.
Job Description
As a Principal Data Scientist – AI at Hiring.zycto, you will be instrumental in shaping our data-driven future, operating from a dynamic location that offers unique perspectives on operational challenges. We are seeking an accomplished and visionary leader to drive our artificial intelligence strategy, develop sophisticated machine learning solutions, and foster a culture of innovation within our data science team. You will leverage vast datasets to uncover actionable insights, predict trends, optimize processes, and build intelligent systems that have a tangible impact across our diverse organizational needs, which includes elements of visitor experience, resource management, and operational efficiency within unique environments like the High Park Zoo.
This role demands a blend of technical mastery, strategic foresight, and exceptional leadership. You will be responsible for leading end-to-end AI initiatives, from conceptualization and experimental design to deployment and ongoing refinement. This includes architecting scalable machine learning pipelines, validating models, and ensuring robust integration with existing systems. You’ll be expected to champion best practices in MLOps, explainable AI, and data governance, ensuring that our solutions are not only cutting-edge but also ethical, transparent, and sustainable.
Beyond individual contributions, you will serve as a key mentor and thought leader, guiding junior data scientists, fostering their growth, and elevating the overall technical capabilities of the team. Collaboration will be central to your success; you will partner closely with engineering teams, product managers, and various business stakeholders to understand their challenges, translate complex business problems into solvable AI tasks, and communicate intricate findings in a clear, compelling manner to both technical and non-technical audiences. Your strategic input will directly influence our technology roadmap and overall business direction, positioning Hiring.zycto at the forefront of AI innovation within a real-world, dynamic setting. This is an unparalleled opportunity to apply your expertise to fascinating and complex problems, making a significant mark on both our technology and our operational excellence.
Key Responsibilities
- Lead the strategy, design, and implementation of advanced AI/ML models and algorithms.
- Architect and optimize scalable machine learning pipelines from data ingestion to model deployment and monitoring (MLOps).
- Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to define problem statements and deliver impactful solutions.
- Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and data science, and evaluate their applicability to business challenges.
- Ensure the quality, integrity, and governance of data used in AI/ML initiatives.
- Communicate complex analytical findings and technical recommendations clearly to both technical and non-technical audiences.
- Drive research and experimentation to explore new data sources, features, and modeling techniques.
Required Skills
- Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Minimum of 9 years of progressive experience in data science, with a strong focus on AI/Machine Learning.
- Expert proficiency in Python (PyTorch, TensorFlow, Scikit-learn) or R for data analysis and model development.
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, particularly with their ML services.
- Deep understanding of various machine learning algorithms, deep learning architectures, and statistical modeling techniques.
- Proven track record of successfully delivering end-to-end AI/ML projects into production environments.
- Strong leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively.
- Expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop).
Preferred Qualifications
- PhD in a quantitative field (e.g., Computer Science, AI, Machine Learning, Applied Mathematics).
- Experience with MLOps tools and practices (e.g., Kubeflow, MLflow, Airflow).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Publications in top-tier conferences or journals in AI/ML.
- Experience applying data science within unique operational environments (e.g., conservation, visitor analytics, resource management).
- Demonstrated ability to translate complex business problems into clearly defined data science initiatives.
Perks & Benefits
- Highly competitive annual salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance coverage.
- Generous paid time off, including vacation, sick days, and holidays.
- Company-matched retirement savings plan (RRSP).
- Dedicated budget for professional development, conferences, and certifications.
- Opportunities for continuous learning and career advancement.
- Collaborative and innovative work environment.
- Employee wellness programs.
- Unique work setting in a vibrant Toronto landmark.
How to Apply
Interested candidates are encouraged to submit their resume and a cover letter detailing their relevant experience and why they are passionate about this role. Please click on the application link below to apply directly.