Senior Data Scientist, Identity Graph
Tasks
- Build feedback loops for new bad data patterns
- Build maintainable observable data pipelines
- Collaborate on MLOps deployment monitoring and drift
- Conduct identity graph audit
- Define data quality thresholds and SLOs
- Deploy improvements to production
- Design evaluation metrics for entity resolution
- Detect and filter bad data in identity graph
- Develop testing and experimentation environment
- Document identity graph architecture
- Evaluate vendor solutions against requirements
- Execute near term identity graph improvements
- Identify resolution failures and data quality issues
- Implement incremental matching logic changes
- Map data sources and entity linking logic
- Monitor and alert graph health
- Prototype identity resolution techniques
- Recommend build vs buy identity strategy
- Run structured proofs of concept with external partners
- Translate findings for technical and non technical stakeholders
- Write production grade tested code
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | BigQuery | Cloud Run | Databricks | Dataflow | Deterministic Linking | Entity Resolution | Experiment design | GCP | Graph Databases | Graph analytics | Identity Graph | Machine Learning | Monitoring | Neo4j | NetworkX | Observability | Probabilistic matching | Python | SQL | Testing | Version control | Vertex AI
Education
Roles
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