Senior Data Scientist
Interac Corp. Head Office
Interac Corp.
Discover more about everyday conveniences Interac can provide to make your life easier and payment solutions that can drive your business.Senior Data Scientist
At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada.
Want to make a lasting impact amongst a community of creative thinkers, problem solvers, technical virtuosos, and high-performance application developers? We want to hear from you.
In this role you would be working as a member of the Data Science team and collaborating extensively with other functions within Data Analytics as well as with a variety of internal stakeholders. This role is best filled by a seasoned data scientist with broad experience throughout statistics, machine learning, and software development.
You'll be responsible for:
Conducting end-to-end analysis that spans requirements gathering through the creation of reusable data products
Proactively identifying white space opportunities, quickly assessing value and feasibility, and delivering against strategic opportunities through application of data science and machine learning methods
Developing production-ready code and applying a strong understanding of the Software Development Lifecyle
Working with large and complex data sets to solve difficult open-ended problems by applying well-established techniques
Conducting exploratory data analyses to identify trends, patterns and insights that inform business decisions and drive outcomes
Providing thought leadership on emerging trends and best practices in data analytics and their potential applications to the business
Collaborating with cross-functional teams to ensure data-driven insights are incorporated into decision-making processes
Advising and supporting product development and Technology teams in developing new applications and platforms with an analytics-first mindset
Learning new approaches, tools, and techniques and sharing them with the team
You bring:
Bachelor’s or advanced degree in a quantitative field such as Mathematics, Engineering, Computer Science or a related field; our teams bring a diverse set of backgrounds and perspectives
Minimum of 5 years of professional (or post-graduate) experience in data analytics or a related field with a proven track record of delivering data-driven insights and recommendations
Solid analytical and problem-solving skills, with a deep understanding of statistical concepts and methods
Extensive experience with Python, PySpark and common data science libraries
Solid understanding of common data structures and algorithms with experience solving complex data problems efficiently
Strong knowledge accessing and manipulating large amounts of data, across a variety of formats and with a variety of tools, and experience troubleshooting large distributed pipelines / queries—you understand typical bottlenecks and trade-offs
Experienced with SQL (any dialect) including advanced concepts
Knowledge of foundational machine-learning concepts and algorithms and the ability to learn and implement emerging techniques
Exposure to cloud computing fundamentals is an asset
Experience collaborating as a team to develop analytics and software solutions
Possess excellent written and oral communication skills and comfortable interfacing with stakeholders from a variety of backgrounds; we interact with both technical and non-technical audiences and value clear communication and effective storytelling
Eligibility to work for Interac Corp. in Canada in a full-time capacity
Interac requires employees to complete a background check that is completed by one of our service providers. We use this service to complete the following checks:
- Canadian criminal record check;
- Public safety verification;
- Canadian ID cross-check;
- 5-year employment verification;
- Education verification; and
- If applicable, Credit Inquiry and Social Media Check
How we work
We know that exceptional people have great ideas and are passionate about their work. Our culture encourages excellence and actively rewards contributions with:
Connection: You’re surrounded by talented people every day who are driven by their passion of a common goal.
Core Values: They define us. Living them helps us be the best at what we do.
Compensation & Benefits: Pay is driven by individual and corporate performance and we provide a multitude of benefits and perks.
Education: To ensure you are the best at what you do we invest in you
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Computer Science Data Analytics Engineering Machine Learning Mathematics Pipelines PySpark Python SQL Statistics
Perks/benefits: Career development
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