Teams at Avaak

Perform end-to-end data science for underwriting, auto-quoting, and sales analytics: detect emerging risks, quantify data blind spots, build multi-signal models and confidence scoring, measure algorithmic impact on sales, and maintain ingestion and pipeline data quality and monitoring.

Build and maintain ingestion pipelines for heterogeneous healthcare data (TPA feeds, claims, eligibility, enrollment). Design dbt models and orchestration (Dagster/Airflow), implement data quality monitoring and observability, and partner with data science to produce and maintain feature pipelines and feedback loops.

Embed with core operational teams to map workflows and remove manual work by building production AI agents, copilots, and internal tooling. Deploy retrieval, memory, and evaluation systems to improve reliability, automate underwriting and claims workflows, extract structure from messy healthcare documents, and measure operational leverage through faster workflows and reduced manual processes.