Synopsis of the role
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
- 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.
Skills 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.
Who is Equifax?
