Data conversion manager leading ETL services for Catalis, a government SaaS and integrated payments provider. Scaling migration standards across court, land records, criminal justice, and jury solutions.
About the role
- Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Responsibilities
- Investigate evolving fraud trends and consumption habits to enhance detection capabilities.
- Apply your expertise in quantitative analysis, data mining, and data presentation to help automate, optimize and understand key business problems and solutions.
- Build data and tooling to empower operational and exploratory data analysis while optimizing for speed, accuracy, and quality.
- Work closely with cross-functional teams of data and backend engineers, and product managers.
- Partner with a broad range of stakeholders across music, podcasts and audiobooks to consistently uphold platform integrity.
Requirements
- A Bachelor's degree in Data Science, CS, or another quantitative field.
- 1+ years work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines.
- Deep understanding of data with expertise in data manipulation and design (SQL) and experience in Python.
- Strong analytical skills, with the ability to turn data into actionable insights and recommendations.
- Strong problem-solving skills, intellectual curiosity, and a proactive approach to identifying new opportunities for fraud detection.
- A continuous learner, excited by new technologies and able to pick up new tools and frameworks quickly.
Benefits
- extended health and dental coverage
- retirement savings plans
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- other benefits in accordance with Canadian employment standards
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