Your Moneris Career
- The Opportunity As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will work closely with cross-functional teams—including engineering, product, and analytics—to design and implement scalable machine learning solutions, support business strategy with data-driven insights, and help shape the future of data science at our organization. You will emphasize data science and AI, focusing on developing, validating, and deploying models to solve complex business problems. A strong foundation in working with data is important, but the primary focus is on analytical rigor, experimentation, and delivering actionable insights.

Location:
You will be based in our Toronto office, balancing in-office collaboration with remote flexibility. Reporting Relationship: You will report to the Manager, Data Science. Posting Type: Replacement Position. Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Develop and deploy machine learning models to solve complex business problems, ensuring scalability, performance, and alignment with strategic goals. Apply statistical and machine learning techniques to extract insights, forecast outcomes, and support decision-making across the organization. Collaborate with cross-functional teams to uphold best practices in code quality, documentation, testing, and reproducibility. Explore and implement the latest AI approaches, including Retrieval-Augmented Generation (RAG) and multimodal Large Language Models (LLMs), to address new challenges. Work with platform such as Databricks and Snowflake, using Python,



PySpark and SQL to conduct advanced data analysis and support model development and deployment. Partner with developers, data scientists, and business stakeholders to embed insights into enterprise workflows and lead data-informed decisions. Demonstrate intellectual curiosity and a desire to understand the data, uncover patterns, and identify opportunities for innovation. Learn new tools, techniques, and business domains to adapt to evolving priorities and bring high-impact solutions. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent work experience in a technology or business environment. Minimum of 5 years of experience in data science and machine learning; Strong programming skills in Python and SQL, with demonstrated experience building and deploying models in production environments. Hands-on experience with Snowflake and Databricks for data exploration, feature engineering, and model deployment. Proficient in multiple programming languages and comfortable writing clean, maintainable, and well-documented code. Demonstrated ability to lead data science projects, communicate findings effectively to technical and non-technical audiences, and influence results. Experience with data governance practices and maintaining high standards of documentation for reproducibility and collaboration. Rapid learner with a deep curiosity about data,



eager to explore new techniques and technologies to improve model performance and growth. Familiar with version control (e.g. Git), CI/CD pipelines, and automated testing (unit, functional, performance) a PLUS. Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA). Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan. Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives. AI Disclosure We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team. We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities. We're the original Canadian fintech. Powering businesses—from the smallest micro-merchant to large enterprises—with the commerce solutions, expert knowledge and local support they need to reach their full potential. For 25 years and counting, we're proud to be the partner Canadians rely on to kickstart their dreams online, expand to a brick-and-mortar space or find new ways to connect with customers in their community and bey

📌 Data Scientist Senior (Canada)
🏢 Moneris Solutions
📍 Canada