Lead Data Scientist (Analytics), Financial Systems
Core
Strategic data scientist leading the data lifecycle, designing experiments, and pioneering Generative AI programs to shape product development at a financial superapp.
Role type
Lead Data Scientist (Analytics)
Builds
Product features, self-serve solutions, and Generative AI programs for a financial superapp.
Domain
Fintech / Superapp / Financial Systems
Deliverable
production ML models | product features
Required skills
Advanced SQL, Python, data visualization (Tableau/HTML), A/B testing and multivariate experiment design, hypothesis testing, Design of Experiments (DoE), large relational database querying, instrumentation management.
Preferred skills
Experience in Banking, FinTech, or E-Commerce, Large Language Models (LLM) expertise.
Technologies
SQL, Python, Tableau, HTML, Large Language Models
Responsibilities
Partner with product, design, and engineering teams to design experiments and lead product decisions; Perform deep-dives into user behavior and product efficacy; Define critical business and product metrics; Design, measure, and recommend A/B tests and multivariate experiments; Analyze clickstream and transactional data to guide product metrics; Manage instrumentation for feature releases; Develop scalable self-serve solutions; Guide plans involving Large Language Models or Generative AI.
Seniority
Senior, hands-on IC