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Lead Data Scientist

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 biggest data organizations and the largest credit bureau in Canada? 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!

As the Lead Data scientist within the Data & Analytics team at Equifax Canada, you will be critical to driving Data Science innovation, working closely with the rest of the Canadian Equifax Data Science & Insights team and the Data Science community internationally.  You will partner with peers, internal stakeholders and external clients to deliver state of the art decision science models & attributes that leverage Equifax’s vast data assets. These include decision areas covering the credit lifecycle, geodemographic & marketing attributes, ratings & fraud models, as well as any new areas where data driven decision making can be informed by predictive modeling including advanced modeling techniques and machine learning. You will extract the data you need, support redesigning data modeling processes, create new algorithms and predictive models the business needs, and lead analysis of the data and sharing insights with peers. 

If you have never managed or built a team before, this is a great opportunity to gain that experience coaching some of the brightest Data Scientists in Canada earlier in their career, offering them mentorship and advice to improve their effectiveness.

What you will do:

  • Lead the vision and strategy of Data Science for Equifax Canada (a Centre of Excellence).

  • Develop new tools, advanced analytical techniques and products.

  • Work with key clients, stakeholders to support development of proprietary analytical products, custom scores as part of co-innovation projects and effectively communicate analytical results to key stakeholders using strong data visualizations, superior presentation skills and business language to emphasize the “so what” of the analysis.

  • Support redesign of the data science model development lifecycle using the latest techniques and methodologies and inventing new ones where needed.

  • Project management including defining business and technical requirements, resource planning and analytical solution design.

  • Provide recommendations and market insights that support solving complex business problems

  • Ensure quality control of all analytical output by junior and intermediate data scientists.

  • 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.  

  • 2+ years’ experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future.

  • 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.

What could set you apart

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

  • A background in financial services, telecommunications or utilities and experience working with credit or fraud data.

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

  • Experience in leadership and mentorship.

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

If this sounds like somewhere you want to work, don’t delay, apply today - we’re

looking for you!

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. ​​​​​​​

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.

For US Applicants

If you'd like more information on your EEO rights under the law, please view our EEO Policy StatementEEO is the Law Declarations, and Nondiscrimination Provision
If you need a reasonable accommodation to assist with your job search or applicant for employment, please contact us by sending an email to GTA@equifax.com. In your email, please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. 

Equifax participates in E-Verify and Right to Work (English and Spanish).

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