Senior Data Scientist

Moneris Solutions Corporation; Toronto; Hybrid; CAD 128,000 - 154,000; Full time

Benefits offered by this job

Total rewards program

Flexible benefits from day one

Pension with company match

Coursera access

Hybrid work

Work from Abroad

Job summary

Moneris Solutions Corporation in Toronto is seeking a Senior Data Scientist to lead data science initiatives, build scalable ML models, and drive data-driven decision making across teams.

You will work with Python, SQL, Snowflake and Databricks, apply RAG and LLM approaches, collaborate with engineering and product, and mentor others while advancing data governance and reproducibility.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field, or equivalent experience.
• Minimum 5 years of experience in data science and machine learning; advanced analytics is a plus.
• Proficiency in Python and SQL with production-model experience.
• Experience with Snowflake and Databricks for data exploration, feature engineering, and deployment.
• Strong coding and documentation practices; ability to communicate with technical and non-technical audiences.

Responsibilities

• Develop, validate and deploy scalable ML models to solve business problems.
• Apply statistical and ML techniques to forecast outcomes and support decisions.
• Collaborate with engineering, product and analytics to ensure code quality and reproducibility.
• Explore AI approaches like Retrieval-Augmented Generation and multimodal LLMs.
• Work with Databricks and Snowflake, using Python, PySpark and SQL for analysis and deployment.

Skills

Python

SQL

Data science

Machine learning

Leadership

Education

Bachelor's or Master’s in CS/Stats/Math/Engineering

Tools

Snowflake

Databricks

Git

CI/CD

Job description

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 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.

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.

Salary Range: The expected base salary range for this role is $128,000 - $154,000 .

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you\'ll do

• 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.
• 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.

Your Moneris Career - What you bring

• 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.

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 .

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Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

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. 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.