Data Scientist

Your Moneris Career - The Opportunity

As Data Scientist you will apply and integrate statistical, mathematical, predictive modeling and business analytical skills to manage and manipulate complex, high-volume data from a variety of sources. Along with building and maintaining data science models the role will also be responsible for the production execution of Data Science solutions into enterprise systems and architecture.

Location: You will be based in our Toronto office and will work in a hybrid model.

Reporting Relationship: You will report to the Director, Data Science and Development.

Your Moneris Career - What you'll do

• Develop and deploy Data products and solutions using spending data at Moneris

• Build business and technical understanding to enhance solution development and create opportunities to enhance overall performance.

• Partner with the Product teams to identify areas of opportunity to expand the Data product portfolio

• Monitor and deploy within the production data science environment using best practices, pipeline controls, and clear documentation around intent and usage of model or algorithm.

• Partner with data engineering and data analytics teams to ensure that data structures and data pipeline enhances data science applications and shortens development cycle.

• Use statistical techniques to increase accuracy for existing projects and create solutions

• Lead in tuning and refining the deployment of models in different environments ensuring that the business context matches the performance of the model and that the cost of running aligns with the need.

• Collaborate with different teams to promote structured pipeline deployment of data science to ensure consistency, security, resiliency of the system.

• Collaborate with business teams in the centre of excellence on data science sharing best practice, new approaches, and successes

Your Moneris Career - What you bring

• PhD or Master's degree in in a quantitative field required, or equivalent work experience.

• Minimum 3 years' experience in data science or machine learning(ML) or AI

• Proficient in Python, SQL, Py Spark

• Experience in Feature engineering

• Experience in production AI and/or ML pipeline management and deployment of models in a production environment.

• Experience working in a cloud Environment like Azure

• Proficient in leading large-scale projects or project steps and communicating progress/approach with technical/non-technical peers/clients and leaders.

• Power BI, Tableau (considered an asset)

• Experience in Data warehousing technologies i.e.: Snowflake (considered an asset)

• Knowledge or exposure to data management, governance, and data design (considered an asset)

Your Moneris Career - What you get

• Comprehensive Total Rewards Program including bonuses, flexible benefits starting from day 1, and your choice of either a health spending account (HSA) or personal spending account (PSA)

• RRSP matching & defined contribution pension plan

• Learning & development programs and resources including unlimited free access to Coursera and an Educational Assistance Program

• Holistic approach to your well-being, with an Employee Assistance Program for you and your family, access to 24/7 virtual health care, wellness events and a supportive workplace culture

• A workplace committed to investing in Diversity, Equity and Inclusion (DEI) through various initiatives including, employee inclusion groups (EIGs), mentorship, DEI learning and workshops, educational events, and various resources including an internal DEI website and newsletter

• Company-wide paid year-end closure & personal time off (including religious, personal, and volunteer days)

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.