Job Description

Senior Data Scientist

The AIR MILES Reward Program is Canada's most recognized loyalty program with nearly 10 million active collector accounts. With more than 30 years of experience, we have a proven track record of driving long-term loyalty.

There's a reason we're recognized as one of the best places to work year after year: we give you more than a place to work, we give you a place to grow your career. That's what sets us apart.

Benefits and Perks at AIR MILES:

Flexible work environment with remote work stipends

AIR MILES Gold Collector status upon hire

Free AIR MILES issued annually on your anniversary date

Group RRSPs & company matching program

An annual wellness subsidy

Robust wellness resources including cognitive behavioural therapy and a Headspace subscription

Summer Hours Program (half-day Fridays + 3 Summer Fun Days)

Loyalty Days (2 extra vacation days per year)

Two-week Sabbatical Leave and 20,000 AIR MILES in the year following each five-year milestone anniversary

Volunteer paid time off

Generous tuition reimbursement programs

Extensive learning and development opportunities

What Will You Work On?

We are looking for a Sr. Data Scientist with a deep understanding of big data and will lead the team in building and enabling big data analytical solutions in the cloud environment. We are looking for subject matter expert with strong experience in researching, designing and implementing data models and statistical algorithms to analyze diverse sources of high dimensional and fast moving data to build continually learning systems.

How Will You Create Impact?

Design, develop, and implement end-to-end cloud based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).

Ensures that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.

Delivers big data and batch/real-time analytical solutions that leverage emerging technologies.

Collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms.

Translates complex functional and technical requirements into detailed architecture, design, and high performing software and applications.

Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics.

Works with peer developers to make sure that all data solutions are consistent and ensures all automated processes to preserve data by managing the alignment of data availability and integration processes.

Develops standards and processes for integration projects and initiatives.

Identify new business opportunities and develop analytical road map based on Clients objectives and marketing strategies.

Contribute or lead all areas of project delivery, managing technical/analytical components of projects, including project planning, definition and scoping. Work with Client teams and other specialists throughout project.

Let's Talk About You:

Over 5 years of experience in data science with a Master's degree or PhD in Mathematics and Statistics / Physics / Computer Science / Business Analytics / Economics or any other quantitative field.

Expert knowledge of Python (e.g. PyTorch, TensorFlow, scikit-learn, Pyspark)

Proficient with Scala, SQL and Spark

Understanding of high performance data science algorithms

Experience using big data batch and streaming tools on AWS and Databricks

Expert knowledge of data modeling and understanding of different data structures

Capability to architect highly scalable distributed systems, using different open source tools

AIR MILES is for Everyone

We are committed to embedding inclusion in the way we work and the services we offer. We believe inclusion is not only a strength but a competitive advantage for AIR MILES, and we focus on building a culture of belonging that enables us to perform, innovate and be our authentic selves.

If you are excited about the role, but don't meet every single requirement outlined in the job description, we encourage you to apply anyway. You never know, you might just be the right candidate for this role, or others!

In your application, please feel free to advise if you require accommodation for the interview process. We also welcome you to note which pronouns you use. Please know preliminary interviews are conducted remotely, via phone or video call. We look forward to 'virtually' meeting you!

Flexible Work Environment

AIR MILES is proud to offer Corporate Associates the flexibility to choose where they do their best work and we do not mandate a minimum number of days required in office. That said, the doors at our Toronto office are always open to Associates who prefer an office environment or need a change of scenery. All members of our Customer Care team permanently work from home.

No matter where you work from, everyone is set up with the tools and resources required to stay connected and make work-from-anywhere routines more comfortable.

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Analytics

Job Type:

Regular