Related skills
sql python machine learning data science fraud detection📋 Description
- Investigate fraud trends to enhance detection.
- Apply quantitative analysis, data mining, and visualization to automate detection.
- Build data tooling for fast, accurate exploratory analysis.
- Collaborate with data and backend engineers and product managers.
- Partner with stakeholders across music, podcasts, and audiobooks to uphold platform integrity.
🎯 Requirements
- Bachelor's degree in Data Science, CS, or quantitative field.
- 1+ years in investigative analysis, anomaly detection, and data pipelines.
- Strong SQL skills and Python experience for data manipulation.
- Strong analytical skills to turn data into actionable insights.
- Strong problem-solving, curiosity, and proactive fraud detection mindset.
- Continuous learner who quickly picks up new tools and frameworks.
🎁 Benefits
- Hybrid Toronto role with some in-person meetings.
- Flexible work from home options.
- Equity included.
- Extended health and dental coverage.
- Retirement savings plan and generous time off.
- Monthly meal allowance.
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