Senior Data Scientist

🕒 June 19

🇨🇦 Canada – Remote

💵 $120k - $160k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

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Flinks

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

💳 Fintech

Consulting • Logistics • Fintech

Flinks is a company that provides financial data infrastructure to power innovation in the financial sector. It enables users to safely connect their bank accounts and transform raw transaction data into actionable insights, supporting open banking programs. Its solutions optimize loan underwriting, enhance digital banking, facilitate payments, and enable wealth management. By leveraging its extensive network of third-party applications, Flinks helps financial institutions innovate and build the financial systems of the future, serving the needs of fintech, wealth management, and traditional banking industries.

📋 Description

• Own machine-learning models end to end, from problem framing and design/RFC through training, deployment to a served endpoint, and production quality monitoring • Build model training pipelines and package models for serving on the shared platform operated by Data Engineering • Monitor model drift and performance and decide when to retrain • Conduct experimental design, statistical validation, drift detection, retraining, champion-challenger evaluation, and model promotion • Partner with Data Engineering, backend, product, and QA on data contracts, deployment, and rollout • Support attributes and enrichment, payments risk, dashboards, and client integrations • Develop and maintain transaction categorization, reversal detection, transaction NER, payments risk, balance forecasting, enrichment, and model-quality monitoring systems • Use AI-assisted development to accelerate implementation and experimentation while contributing strong problem framing, system design, evaluation rigor, and technical specifications

🎯 Requirements

• 6-8 years building and shipping machine-learning models, including taking models to production yourself • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or related field • Production-grade Python • Ability to take a model to a live, monitored service independently • Solid data-science and machine-learning foundation • Experience with training pipelines, served endpoints, monitoring, statistical validation, drift detection, champion-challenger evaluation, and retraining • Must be legally authorized to work in Canada • Experience with Python and SQL, Google Cloud Platform, BigQuery, PyTorch, HuggingFace, classical ML frameworks, MLflow, Kubeflow, FastAPI, containerized deployment, and Azure DevOps is relevant; exact-stack experience is not required

🏖️ Benefits

• Health & Dental coverage as of Day 1 • Flexible Paid Time Off (FTO) • Remote work environment with frequent in-person gatherings and activities • Career development, learning opportunities and growth • Accommodation support for persons with disabilities

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