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About the Role

As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying advanced analytical models, conducting experimentation, and uncovering applicable insights from complex datasets. You are a curious and collaborative problem-solver who excels 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. 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.

Responsibilities

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 platforms such as Databricks and Snowflake, using Python, PySpark and SQL to conduct advanced data analysis and support model development and deployment.
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 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.

Requirements

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; advanced analytics experience is a PLUS.
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.
Strong analytical and problem-solving skills, with experience working with 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 results.
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 growth.
Experience in the payments or financial industry is preferred.
Familiar with version control (e.g. Git), CI/CD pipelines, and automated testing (unit, functional, performance) a PLUS.

Skills

Python
SQL
Snowflake
Databricks
PySpark
Git
CI/CD
Automated Testing

Location

Toronto

Work Type

Hybrid

Experience Level

Senior
5+ years

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$128,000 - $154,000

Benefits

Performance-based bonuses
Flexible benefits starting from day one
Health spending account (HSA) or personal spending account (PSA)
Profit-sharing programs with company match
Defined contribution pension plan
Unlimited access to Coursera
Mentorship programs
Internal gig marketplace
Employee & Family Assistance Program
24/7 virtual healthcare
Workplace wellness initiatives
Hybrid work arrangements
Work from Abroad program
Paid time off programs
Company-wide recognition programs
Exclusive banking perks from RBC & BMO
Access to great employee discounts

About the Company

Moneris is a company that believes in empowering employees to succeed—personally and professionally.
They offer resources, opportunities, and an inclusive environment that supports development and career growth.

Equal Opportunity

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.