Business Data Scientist, Internal Audit

• Partner with business, technology and privacy and security auditors, working closely with cross-functional teams including engineering, product management, operations and finance to identify and quantify risk, as well as to evaluate controls at scale.
• Analyze product, infrastructure and financial data for a variety of patterns including abuse, fraud, brand risk, control breakdown and regulatory non-compliance; succinctly calibrate and convey findings from your work to varied stakeholders.
• Develop repeatable methods to ensure consistent results. Develop infrastructure to support analyses and automate audit procedures.
• Influence teams towards data-informed decision-making and analytical thinking.
  

Minimum qualifications:

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Experience applying GenAI to data analysis problems for data generation, enrichment, or processing.

Preferred qualifications:

• 2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Experience applying GenAI to data analysis problems for data generation, enrichment, or processing.