$80K — $100K *
Tim Hortons® is one of North America's largest restaurant chains operating in the quick service segment, with more than 4,800 system wide restaurants located in Canada, the United States and around the world.
We are currently looking for experienced and driven Machine Learning Specialist to join our Advanced analytics team.
What You’ll Do:
The Machine Learning Specialist will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization
Responsible for the building, training, scoring and monitoring of machine learning models to be used for loyalty offer generation
Develop best in class offer generation tools that allows for individual customer targeting and optimize based on all available data; look for areas of data enhancement and improvement
Work with digital development teams to ensure that the tools and data available is best in class; work with IT teams to ensure data quality
Work closely with various stakeholders to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques
Who You Are:
We are looking for individuals who:
Strong problem-solving skills with an emphasis on product development.
Take ownership, with the ability to manage in an environment of quick change to help strategic moves in this rapidly evolving QSR environment.
Outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business.
Ability to work in a fast-paced Agile environment and is transparent and professional in their communication If you’re curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly, then this is definitely the place to be.
What You Bring:
MS/PHD or equivalent in Computer Science, Engineering, Statistics, Mathematics, or related technical field
Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools
Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, deep learning, reinforcement learning, etc.
Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results
Able to model out the expected cost and expected opportunity of recommendations
Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data
Experience in one or more programming languages (e.g. Python, R, Scala, etc.)
Experience with Loyalty Programs an asset
Experience with Databricks, Tableau and AutoML tools an asset
Valid through: 11/16/2020