Senior Data Scientist

Job Summary

Working remotely, the full-time Senior Data Scientist will design, build, and deploy models for entity resolution and deduplication, while managing the full lifecycle of these models in production and collaborating with various teams to enhance data-driven decision-making.

Key Responsibilities:

• Design, build, and ship models for entity resolution and deduplication into production pipelines, including confidence scoring approaches
• Own the full lifecycle of deployed models, including monitoring, retraining triggers, and incident response for performance issues
• Analyze large volumes of telemetry and log data to identify patterns that inform product and engineering decisions

Required Qualifications:

• Strong applied statistics and machine learning background with experience deploying models in production
• Proficient in production Python, including writing maintainable code and collaborating in a shared codebase
• Hands-on experience with Kafka and streaming systems for building and debugging pipelines
• Experience with graph databases like Memgraph or Neo4j, including query optimization against production data
• Working knowledge of networking fundamentals and common telemetry protocols such as SNMP, syslog, and OpenTelemetry