Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Schedule and conduct premium audits with insured clients, collect and review required documentation, prepare accurate audit reports, communicate with insureds and internal stakeholders, and manage remote workload independently while meeting deadlines and quality and company standards.

Lead development of time-series and econometric models (ARIMA, VAR, state-space, WLS, panel data) and Bayesian probabilistic frameworks. Use causal inference and stochastic processes to produce actionable insights, work with large datasets on Databricks, communicate results to stakeholders, and mentor junior team members.

Perform remote premium audits: schedule and conduct audits with insured clients, collect and review documentation, prepare accurate audit reports, communicate with insureds and stakeholders, and manage workload to meet deadlines and quality standards.

Contact policyholders via phone, SMS, and email to schedule appraisals, explain requirements, and build trust. Assist homeowners with installing and using the ASSIST photo-capture mobile app and troubleshoot technical issues. Update work order statuses, prioritize tasks to meet productivity and turnaround goals, and notify management of unusual situations.

Provide high-level administrative support to the Head of TPA Operations and other senior leaders, managing complex calendars, inboxes, travel, expenses, executive communications, presentations, confidential issues, stakeholder coordination, and follow-up to ensure timely completion of projects.

Work remotely to schedule insured appointments, collect documentation, and perform insurance premium audits per client requirements and quality standards. Maintain productivity, use MS Office for reporting, and adhere to company processes and timelines.

Contact policyholders via phone, SMS and email to schedule insurance appraisals, assist homeowners with the ASSIST photo-capture app, update work order statuses, meet productivity and quality goals, prioritize tasks, and report issues to management.

Design, build, and optimize scalable AWS-based data pipelines, data lakes, and warehouses. Migrate legacy systems, enforce data quality/security/governance, implement ETL/ELT and big-data solutions, adopt CI/CD and IaC, collaborate with stakeholders, and provide technical leadership and troubleshooting.

Design, build, and operate production-grade, event-driven data pipelines (Kafka/Flink) on GCP to deliver model-ready features. Optimize BigQuery SQL and Parquet performance, develop Python data workloads (Polars/Pandas), deploy ML pipeline components on Kubeflow/Vertex AI with Docker, design event store architectures, and collaborate with ML and platform teams while documenting architecture and standards.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.