Lead Data Scientist

What you will do:

For the first 3-6 months you will learn our data, our technologies, our platform and work on exciting projects to support our advanced analytics team.

You will help lead the vision and strategy of Data Science for Equifax Canada.

You will develop new tools, advanced analytical techniques and products.

You will work alongside our consulting specialists to build detailed requirements and plans for custom project work.

You will work with key clients on custom projects and solutions through the development of custom scores, strategy optimisation, benchmarking and reporting reports and co-innovation projects.

You will effectively communicate analytical results to key stakeholders using strong data visualizations, superior presentation skills and business language to emphasize the “so what” of any analysis performed.

You will manage your own projects including defining business and technical requirements, resource planning and analytical solution design.

You will provide recommendations and market insights that support solving complex business problems

You will ensure quality control of all analytical output by junior and intermediate data scientists.

You will coach and mentor junior and intermediate data scientists in career development and data science skill-set improvement.

What experience you will need:

You don’t have to tick all of the bullets below, but some of the following would be essential:

3+ years’ data science experience with expert knowledge of Python, SQL, R or SAS in a large data environment.

3+ years’ experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks (including LSTMs, RNNs).

3+ years’ proven hands-on experience designing, building and implementing analytical solutions to solve real world problems.

2+ years’ experience building models with the best packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers.  

1+ years’ background in and an innate talent and passion for trying new technologies and quickly assessing value and implementability within organizations.

Bachelor’s or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics is essential.

What could set you apart (nice to have skills):

A background in financial services, credit, telecommunications or utilities.

Experience working with credit or fraud data and Experience in leadership and mentorship

Experience with development and deployment of models in a cloud based environment such as AWS or GCP is preferred.

Master’s level degree in a business-related field/MBA.

We offer comprehensive compensation and healthcare packages, paid time off, and organizational growth potential through our online learning platform with guided career tracks.