Data Science Innovation Lead

6 days ago


Toronto, Ontario, Canada Flinks Full time
About Flinks

Flinks is revolutionizing the financial industry by empowering consumers with control over their financial data. Our mission is to unlock the full potential of financial data and enable businesses to create innovative, client-centric products.

We are trusted by hundreds of companies and connect over 250 million financial accounts. Our products power digital finance, helping businesses streamline processes, improve user experiences, and drive innovation.

Company Overview

Flinks is at the forefront of open banking and financial data innovation. We are committed to creating open, consent-based exchanges of financial data that benefit both consumers and businesses.

About the Role

This is an exceptional opportunity for a Senior Data Scientist to join our high-impact team. As a Senior Data Scientist, you will lead projects that shape the future of finance by unlocking insights from vast financial datasets.

You will play a critical role in designing, building, deploying, and continuously improving sophisticated machine learning models. Your work will directly influence the development of innovative financial products and help businesses make smarter decisions.

Key Responsibilities
  • Own the model lifecycle, including design, build, deployment, and continuous improvement
  • Become a data detective, proactively identifying data quality issues and resolving them to ensure optimal model performance
  • Innovate with cloud platforms, leveraging cloud technologies to build, train, and scale advanced models
  • Shape our technical strategy, proposing and implementing forward-thinking solutions
  • Collaborate and mentor engineering and product teams to integrate models into production
  • Contribute to R&D, exploring the latest advancements in machine learning and applying them to financial data products
Requirements
  • Deep understanding of data science and ability to propose innovative ideas
  • 5+ years of experience as an established and confident Data Scientist
  • Strong proficiency in Python for data science


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