Data Scientist at Shift building complex models for credit risk and fraud. Collaborating with teams to innovate financial solutions for Australian SMEs.
About the role
- Manager, Data Science driving fraud analytics at PayPal. Leading data science projects and managing fraud data investigations.
Responsibilities
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives
- Collaborate with cross-functional teams to understand data needs and provide actionable insights
- Ensure data quality and integrity through regular audits and validation processes
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement
Requirements
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
- familiarity with data-driven investigations and cyber-enabled financial crime
- proficiency in BigQuery/SQL
- practical expertise in data mining and database technologies
Benefits
- flexible work environment
- employee shares options
- health and life insurance
- more
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