We are looking for a data scientist to power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various business domains.
Requirements
- Bachelor's degree or above in a quantitative discipline
- Strong proficiency in SQL and at least one mainstream programming language (Python or R)
- 5+ years of hands-on experience in data analytics, data science, analytics engineering, or data engineering roles
- Proven experience building and maintaining data products in one or more of the following domains: Product analytics (user behavior, funnels, experiments, KPIs); Business or marketing analytics (growth, monetization, performance measurement); Risk analytics, compliance analytics, or continuous audit analytics
- Solid understanding of ETL processes, data integration, and large-scale data processing, with cloud-based data infrastructure (e.g., AWS, GCP, Azure, Snowflake)
- Experience implementing data quality checks, reconciliations, or data observability solutions
- Demonstrated ability to translate ambiguous business or risk questions into structured analytical approaches