Location: Canada (Remote)
Language: English, professional written and verbal communication required
Duration: Permanent
Background Check Requirement: Standard background check required

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About the Opportunity

We’re partnering with a fast-growing Canadian fintech organization that is redefining how small businesses access financing. This is a high-impact opportunity to join a data-driven team where the work you deliver directly supports entrepreneurs across Canada and shapes real business outcomes.

As an Applied Data Scientist, you’ll take ownership of a core production model that drives lending decisions. You’ll work closely with Risk, Data, and Engineering partners in a highly collaborative environment, translating complex data into actionable insights and scalable solutions that power critical business functions.

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What’s In It for You

You’ll join a team that values ownership, curiosity, and continuous improvement. This is a workplace where your ideas are heard, your work has visible impact, and you’re empowered to build solutions end-to-end.

You’ll also benefit from a fully remote environment, strong mentorship from senior data leaders, and the opportunity to work on meaningful problems in a growing fintech space.

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Your Responsibilities

• You’ll own and evolve a production scoring model, managing the full lifecycle from feature engineering through deployment and monitoring
• You’ll build and maintain scalable feature pipelines using Python and SQL across multiple data sources
• You’ll design and refine decisioning models, combining statistical approaches with rule-based logic
• You’ll develop monitoring frameworks, dashboards, and reporting to support business and executive decision-making
• You’ll collaborate with engineering partners to integrate models into production systems and APIs
• You’ll investigate data and model discrepancies, turning recurring issues into automated solutions

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Skills and Qualifications

• 3+ years of experience in applied data science or ML engineering with production model ownership
• Strong Python (pandas, NumPy, scikit-learn) and SQL skills with experience in data warehouses
• Proven experience in feature engineering and working with complex, real-world datasets
• Strong understanding of model evaluation, validation, and monitoring techniques
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Experience in fintech, risk modeling, or credit decisioning is considered an asset

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Note from the Hiring Manager

“We’re looking for someone who enjoys owning their work end-to-end and is excited to see their models directly influence real business decisions.”

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Why Partner with Altis

If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.