Senior Data Scientist at Moneris

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

0.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Scikit-Learn, XGBoost, Statistical Techniques, Time Series Forecasting, Databricks, Snowflake, Feature Engineering, AI Approaches, Data Governance, Analytical Skills, Problem-Solving, Collaboration

Industry

Financial Services

Description

Your Moneris Career - The Opportunity We are seeking a Senior Data Scientist to join our team and lead impactful data science initiatives that drive strategic decision-making and product innovation. This role focuses on developing and deploying advanced analytical models, conducting experimentation, and uncovering actionable insights from complex datasets. The ideal candidate is a curious and collaborative problem-solver who thrives in a fast-paced environment. 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. This role emphasizes 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. Your Moneris Career - What you'll do Develop and deploy robust machine learning models using Scikit-learn and XGBoost 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, leveraging tools like Prophet and Statsforecast for time series forecasting. Collaborate with cross-functional teams to uphold best practices in code quality, documentation, testing, and reproducibility. Explore and implement cutting-edge AI approaches, including Retrieval-Augmented Generation (RAG) and multimodal Large Language Models (LLMs), to address emerging challenges. Work with platform such as Databricks and Snowflake, utilizing Python, PySpark and SQL to conduct advanced data analysis and support model development and deployment. Continuously evaluate new methodologies and technologies to enhance modeling capabilities and stay ahead of industry trends. Partner with developers, data scientists, and business stakeholders to embed insights into enterprise workflows and drive data-informed decisions. Demonstrate intellectual curiosity and a strong desire to understand the data, uncover patterns, and identify opportunities for innovation. Rapidly learn new tools, techniques, and business domains to adapt to evolving priorities and deliver high-impact solutions. Your Moneris Career - What you bring Bachelor's degree required (master's an asset) in Computer Science, Statistics, Mathematics, Engineering or equivalent work experience in a Technology or business environment. Minimum of 5 years of experience in data science, machine learning, or advanced analytics roles. Strong programming skills in Python and SQL, with demonstrated experience in 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. Strong analytical and problem-solving skills, with experience working with large, complex datasets to uncover insights and drive decisions. Demonstrated ability to lead data science projects, communicate findings effectively to technical and non-technical audiences, and influence business outcomes. Experience with data governance practices and maintaining high standards of documentation for reproducibility and collaboration. Fast learner with a deep curiosity about data, eager to explore new techniques and technologies to improve model performance and business impact. Nice-to-have... Experience in the payments or financial industry. Experience building dashboards and data visualizations in Power BI. Familiar with version control (e.g. Git), CI/CD pipelines, and automated testing (unit, functional, performance) Your Moneris Career - What you get At Moneris, we believe in empowering you to succeed—personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career. 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 Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers #LI-Hybrid #TECH-IND Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities. 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. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role. Meet Moneris. 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. That’s why we exist. 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 beyond. Our commitment to you. From coast to coast to coast, Moneris is proudly powering Canadian commerce for businesses, big and small. Our success is rooted in the dedication of our team members, whose skills, talent, and passion make it all possible. We provide resources, opportunities and an inclusive environment that empower our people to drive their careers forward and, together, create a positive impact on Canadian businesses. Powering Canadian commerce. Empowering you. Recognized for Inclusion Moneris is proud to be recognized as a 5-Star DEI Employer, reflecting our commitment to creating an inclusive, welcoming workplace where everyone belongs. Moneris.com/careers Join our Talent Community.

Responsibilities

Develop and deploy advanced analytical models to drive strategic decision-making and product innovation. Collaborate with cross-functional teams to implement scalable machine learning solutions and support business strategy with data-driven insights.