Data Scientist, Trust & Algorithms
Core
Building a business intelligence engine and trust-centric tools using statistical models and deep learning for user behavior analysis and anomaly detection.
Role type
Senior IC data scientist (causal inference & deep learning)
Builds
Business intelligence engine, trust tools, data pipelines, dashboards
Domain
E-commerce / Recommendation systems
Deliverable
production ML models | dashboards & analysis
Required skills
causal inference modeling, complex experiment design, deep learning, feature engineering, statistical analysis, SQL/Hive/Pig, Python/R, anomaly detection, metric definition
Preferred skills
pricing strategy guidance, team leadership, unlearning and rapid learning
Technologies
Hive, Pig, SQL, Unix, Python, R
Responsibilities
Design efficient experiments and frameworks for recommendation strategies, build statistical models for trust tools, utilize deep learning for feature engineering and model building, guide vision for pricing and promotion, create data pipelines and dashboards
Seniority
Senior, hands-on IC with potential for team leadership