Data Scientist, Amazon Connect
Core
Analyze massive datasets to categorize customer idiosyncrasies, identify outliers, detect anomalies affecting model performance, and assess data gaps to improve model accuracy.
Role type
Senior IC data scientist (machine learning & analytics)
Builds
Scalable, resilient AI systems for a cloud-based contact center
Domain
Cloud infrastructure / Customer service technology
Deliverable
production ML models
Required skills
Machine learning/statistical modeling, data querying (SQL), scripting (Python), anomaly detection, outlier analysis, feature engineering, model explainability, translating business problems to data science problems
Preferred skills
Experience with large technology companies, experience in Python/Perl
Technologies
AWS services (Lex, Polly, Lambda, S3, Kinesis), SQL, Python, R, SAS, Matlab
Responsibilities
Categorize customer usage patterns and idiosyncrasies, develop mechanisms to clean up outliers for downstream consumption, deep dive into customer issues and model discrepancies, assess data gaps and derive creative features from existing sources
Seniority
Senior, hands-on IC