Senior Data Scientist
MonerisTorontoYour 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 dev... Show more
Data scientist • toronto on
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 dev... Show more
Pay Range: $120,000 - $150,000.At The Home Depot Canada, we want you to feel valued and supported.The pay range you see represents base salary only.In addition, your total rewards may include: semi... Show more
Title: Senior Data Scientist.Location: Toronto, Ontario .Description: Role Descriptions: Senior Data Scientist who can work independently| collaborate effectively with data scientists| ML... Show more
Our client, a large financial services organization, is hiring a Senior Data Scientist (AML) for a 6-month contract in Toronto, ON (hybrid).You’ll join a data science team focused on anti-money lau... Show more
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses.We are looking to hire a season... Show more
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally.We develop bespoke solutions powered by data and technology for sev... Show more
Pay at Intact is about much more than just salary.Multiple benefits offered to support.Wellness account and much more.Share plan & other savings: up to.Employee Share Purchase Plan (ESPP) – with In... Show more
Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems.Design, develop, and impl... Show more
RQ11583 - Data Scientist - Senior.Organization Government Services Integration Cluster.Ministry: Ministry of Public and Business Service Delivery and Procurement.Informatica Governance & Market... Show more
Headquartered in San Francisco, our investors include.Design precise, task-specific grading criteria for data science deliverables.Provide detailed written justifications for evaluations and scores... Show more
Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada.Our platform helps businesses close more sales by offering customers ... Show more
Data Scientist with strong clinical trial domain knowledge, particularly in oncology.This role combines clinical data science, statistical programming, and study-level support to help teams analyze... Show more
Partner closely with business stakeholders to understand analytical needs, translate business problems into actionable insights, and deliver compelling data storytelling that supports strategic dec... Show more
For more information about Coke Canada Bottling and our products, visit cokecanada.Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs.In-office expect... Show more
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells.Our platform empowers millions of buyers and sellers in more than 190 markets around the world.... Show more
We are seeking a highly skilled.This role plays a key part in transforming scientific, clinical, manufacturing, and commercial data into actionable insights that accelerate drug development, optimi... Show more
Our client, is seeking an experienced, highly innovative Data Scientist III (Senior Data Science & GenAI / Agentic AI Specialist) to join their centralized Advanced Analytics team.In this stra... Show more
This is a great opportunity to attract AI and GenAI talent in a highly competitive market.The key is to focus on the business impact, cutting-edge technology, and career growth opportunities rather... Show more
Working on large projects, you will focus on detecting fraudulent activities and on enhancing the machine learning-based fraud engine.Experience in Model Development Lifecycle and working with larg... Show more
Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance Management Team... Show more
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.