Data Scientist - Feature Engineering

Synopsis of the role Do you have a passion for being at the forefront of Data Science innovation and building cutting edge, scalable analytical solutions? Are you a tech savvy individual looking for an exciting, dynamic role to grow your career fast with one of the largest global data analytics and technology companies? Do you want to create new products and push business forward enabling Canadians to live their financial best? If you are a leader in designing & developing Machine Learning solutions blending science, art & business logic and unlocking the power of data to solve complex business problems, we would love to hear from you! What you will do

For the first 3-6 months you will learn our data, our technologies and our platforms and support our advanced analytics team in your journey to becoming an Equifax data expert. You will develop new tools, advanced analytical techniques and products. You will develop new attributes which add value to business decisions including exploratory analysis across new alternative data sources, new data partnerships and expansion of the Equifax data lake. You will design new features to meet the needs of our Scoring and Modelling team, creating packages which offer superior predictive power to those currently being utilised. With the support of your manager, you will work on 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. What experience you will need

3+ years’ data science and analysis experience with expert knowledge of Python, SQL, R or SAS in a large data environment. 3+ years’ proven hands‑on experience designing, building and implementing analytical solutions to solve real world problems. Experience working with credit or fraud data. Understanding advanced machine learning algorithms and statistics and the model development process. 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 creating and using advanced machine learning algorithms and statistics. 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. Seniority level

Mid‑Senior level Employment type

Full‑time Job function

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