Skip to main content

Data Scientist - Custom Projects

Synopsis of the role

Equifax is looking for an experienced Data Scientist to join its Canadian team. As a Data Scientist at Equifax, you will work directly with both internal stakeholders and external clients to deliver innovative 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 modelling including advanced modeling techniques and machine learning when applicable.

The ideal candidate will not only have strong technical experience but demonstrate creativity and inquisitiveness and a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of internal and external stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

What You'll Do

  • You will utilize tools, including Python, nd SQL to extract data and assist others users to improve the performance of queries.

  • By working closely with customers, you will understand the objectives of their projects and be able to interpret the business needs into a sound analysis plan that considers all relevant data.

  • Build and create advanced machine learning algorithms such as  regression, simulation, scenario analysis, modeling, clustering and decision trees

  • Effectively communicate analytical results to key partners using strong data visualizations, strong presentation skills and business language to emphasize the so what of the analysis.

  • You’ll act as the primary contact for Equifax customers using Ignite solutions (Equifax product) to answer technical inquiries or provide guidance on the use of Equifax data within specific analytical methodologies.

  • By demonstrating your experience with data visualization tools, you will improve productivity while ensuring results are consistent across the organization.

  • Use advanced techniques or partner with statisticians to build out predictive models that address new opportunities for a customer based on a deep understanding of their business need

What Experience You Need

  • Bachelor’s or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics (essential)

  • 4+ years’ data manipulation experience with deep knowledge of Python, spark and SQL in a large data environment

  • 4+ years using advanced analytical techniques including decision trees, logistic regression, and, preferably, machine learning methodologies

  • Demonstrable experience in a client-facing role with direct contact and client management responsibilities for specific deliverables and delivering high quality analytical output within tight deadlines

  • Strong knowledge of Hadoop Tools such as Hive or Impala and Experience with developing credit scorecards is an asset, also any experience with data visualization tools (Spotfire, Tableau, Qlik) would be a plus

What could Set you Apart

  • Master’s level degree in a business-related field/MBA (preferred)

  • Experience in working with credit data and cloud environment such as GCP  is an asset

  • Working knowledge of database design, data modeling, risk management and/or marketing practices, statistical/predictive modeling

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 ourEEO 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).