Categories
Data Science
Data Testing
Other in Technology
Tech Engineering
IT
Total Price
- CAD 10 843.48
Hourly Rate
- CAD 62.61
Expected Hours
173
Project Length
- 12 months
Description
What You'll Do
Triangle Retail Media is seeking a dynamic and detail-oriented Senior Data Scientist for our Data Science team. This new role involves developing and maintaining machine learning models for campaign measurement and audience creation and prediction. The ideal candidate will demonstrate exceptional analytical skills and development experience.
- Develop, enhance, and maintain machine learning models to measure the incremental impact of digital advertising campaigns and model new audiences
- Create classification and regression models using Google Cloud tools such as BigQuery, Vertex AI as well as standard packages such as Pandas, NumPy and SciKitLearn
- Code media mix and multi-touch attribution models using cutting-edge techniques to optimize media spend and channel usage
- Build the framework for statistically sound campaign measurement, using the latest techniques in synthetic controls, audience inference and lift measurement
- Collaborate with other data science teams to integrate models into a standard MLOps framework, including CICD and monitoring
- Work closely with analysts, data scientists, and engineers to build and maintain efficient pipelines, processes, and monitoring solutions, ensuring maximal value is derived from new and existing data products
- Perform advanced data analysis using SQL and Python (Pandas and NumPy)
- Collaborate with cross-functional teams to integrate data science solutions into business processes
- Clearly and concisely communicate complex data findings and model results to both technical and non-technical stakeholders
What You Bring
- Post-secondary education in computer science, statistics or machine learning. Master’s Degree or higher a plus
- 3+ years experience in data science, analytics and/or measurement within retail media, digital media, marketing or advertising
- Proficiency with CI/CD tools such as Git, GitHub, and GitHub Actions
- Strong skills in Python (including NumPy and Pandas) and SQL; experience with TensorFlow and PyTorch is highly desirable
- Hands-on experience with Google Cloud technologies such as BigQuery, Vertex AI, Google Cloud Storage, and Looker
- Certifications in Google Cloud or AWS are a plus
Why Join Us?
- Opportunity to work at the cutting edge of retail media advertising technology
- Collaborate with a dynamic team of professionals dedicated to innovation and excellence
- Competitive salary package with comprehensive benefits
- Career growth opportunities within a rapidly expanding organization
If you are passionate about transforming retail media advertising through innovative applications of statistics and machine learning techniques on Canada’s largest 1st party dataset and have the expertise to drive success in this field, we invite you to apply for this exciting opportunity at Triangle Retail Media.
Located at the vibrant Yonge & Eglinton campus in mid-town Toronto, this role requires a 4-day in-office commitment.
About Triangle Retail Media
Are you looking for a career-defining opportunity to work for one of the fastest-growing Retail Media Networks in Canada? You’ve arrived at just the right place! At Triangle Retail Media (TRM) we put the customer first in everything we do. We use data-driven insights about customer preferences, behavior, purchase trends, and media consumption to deliver highly-effective, customized marketing solutions for brand marketers and media agencies alike.
At the core of our Retail Media offering is the Triangle Loyalty program, which boasts over 11 million active members, allowing us to deeply understand our customers, personalize our strategies, and measure the impact of paid advertising on brand metrics and sales across all of Canadian Tire Corporation’s retail banners. We are looking for high-achievers with a builder's mindset – individuals who can support the business in multiple areas, be mentally flexible and take pride in creating new process and solutions in an agile, entrepreneurial, exciting environment.
Address of the job
-
Toronto, ON, Canada
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