Data Scientist, Analytics

Academic background in a quantitative field (Computer Science, Statistics, Engineering, Economics, or Physics); advanced degree preferred. 5+ years of experience in an analytical role. Strong knowledge of relational databases (e.g., SQL). Experience exploring complex datasets to identify hidden insights and generate compelling stories. Customer-facing experience and ability to understand customer challenges. Proven experience with at least one programming language (Python preferred). Comfortable developing code in a team environment (e.g., git, notebooks, testing). High tolerance for ambiguity and delivery-oriented mindset. Excellent verbal and written communication skills and experience in influencing decisions.

Perform exploratory data analysis to uncover insights in large datasets and build data-driven stories. Lead implementation of new advanced analytics products for customers. Collaborate with go-to-market teams and customers to translate challenges into models and products. Work with financial crime and threat analysts to identify suspicious activities and trends. Collaborate with engineers and research scientists to design algorithms for cryptocurrency and blockchain data analysis. Communicate findings and insights to technical and non-technical stakeholders. Establish best practices and statistical rigor around data-driven decision-making.