Sr Data Scientist, RBS Tech
Core
Design and deploy scalable causal-inference and classical ML solutions to measure the business impact of fixes affecting millions of customers and solve key customer experience issues.
Role type
Senior IC data scientist (causal inference & econometrics)
Builds
Scalable state-of-the-art causal-inference and classical ML solutions for customer experience (CX) and selling partner experience (SPX)
Domain
E-commerce / Causal inference & Econometrics
Deliverable
production ML models
Required skills
Causal inference, econometric methods, Difference-in-Differences, Double Machine Learning, synthetic control, matching/propensity methods, classical machine learning, statistical modeling, anomaly detection, pattern recognition
Preferred skills
Team leadership and mentorship, software development, computer science fundamentals (data structures, algorithms), scientific thinking and thought leadership
Technologies
Quasi Experimentation Platform (QEP)
Responsibilities
Define research and experiments strategy with iterative execution, partner with business and engineering teams to solve complex problems, coach and mentor colleagues, contribute to patents and/or publish research work, identify new business opportunities and provide strategic direction
Seniority
Senior, hands-on IC with mentorship
