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Senior Data Scientist

๐Ÿ“… Mar 20
Data ScienceQuantitative ModelingMachine LearningPython

๐Ÿ“œ Description

  • Champion a data-first approach across internal teams and client engagements, promoting clarity and impact.
  • Build and deploy machine learning models to prevent fraud across diverse fintech use cases.
  • Develop and track metrics to measure and monitor the performance of risk products.
  • Conduct in-depth analyses to uncover insights contributing to fraud reduction.
  • Create and automate self-serve dashboards leveraging BI tools.
  • Collaborate with engineering to scale models into production and optimize performance.

๐Ÿ› ๏ธ Requirements

  • 7+ years of experience in data science, quantitative modeling, or a data-focused role with demonstrated high impact in fraud or risk contexts.
  • Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have.
  • Expertise in BI tools such as Tableau, Sigma, or Metabase.
  • Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis.
  • Sharp critical thinking and creative problem-solving skills with a bias toward action.
  • Proficiency in defining, tracking, and communicating performance metrics.

โœจ Benefits

  • Generous compensation in cash and equity.
  • Flexible paid time off and Year-end break.
  • Health insurance
  • Dental
  • Vision coverage for employees and dependents
  • 4% matching in 401k / RRSP.
  • One-time stipend to set up a home office.
  • Monthly meal stipend.
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