Data Science Professional
6 days ago
As a Data Scientist at Equest, you will have the opportunity to work on exciting projects that involve deploying data science models in production environments. Your primary responsibility will be to research, design, and construct predictive models to enhance our understanding of core business and adjacent opportunities.
The ideal candidate should have a Master's or PhD degree in a quantitative field, with a minimum of 2 years' experience in predictive modeling. You should also be proficient in multiple programming languages, with the ability to code, and have experience in production data science pipeline management and deployment of models in a production environment.
This role offers a comprehensive Total Rewards Program including bonuses, flexible benefits starting from day 1, and your choice of either a health spending account (HSA) or personal spending account (PSA). Additionally, we offer RRSP matching & defined contribution pension plan, learning & development programs and resources including unlimited free access to Coursera and an Educational Assistance Program. A holistic approach to your well-being is also provided through various initiatives such as employee inclusion groups (EIGs), mentorship, DEI learning and workshops, educational events, and various resources including an internal DEI website and newsletter.
In terms of compensation, we estimate the salary for this role to be around $120,000 - $180,000 per annum, based on industry standards and location. This includes a base salary of $100,000, plus performance-based bonuses of up to $40,000.
We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities. We believe candidates bring experience to their work in many ways and encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.
At Equest, we are committed to investing in Diversity, Equity and Inclusion (DEI) through various initiatives including, employee inclusion groups (EIGs), mentorship, DEI learning and workshops, educational events, and various resources including an internal DEI website and newsletter.
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