Lead Data Scientist
Tasks
- Build and optimize ETL and streaming pipelines
- Collaborate on data driven product capabilities
- Design batch and real time data processing systems
- Develop statistical models and analytics capabilities
- Establish data quality and pipeline reliability monitoring
- Evolve internal tooling and frameworks
- Implement production grade data workflows
- Lead model choices and data architecture decisions
- Operationalize data infrastructure and analytics systems
- Orchestrate data pipelines and analytics infrastructure
Perks/Benefits
- 401k
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid family leave
- Paid parental leave
- Paid sick time
- Paid time off
- Stock options
- Vision insurance
- Wellness benefit reimbursement
Skills/Tech-stack
APIs | Apache Airflow | Apache Beam | Cloud Dataflow | Cloud Dataproc | Cloud PubSub | Data Governance | Data Lake | Data Modeling | Data Quality | ETL | GCP | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud PubSub | LLM | Language Models | Large Language Models | Machine Learning | Monitoring | Observability | Orchestration | PySpark | Python | Statistical modeling | Streaming | Supervised Learning | Unsupervised Learning | Visualization
Education
N/A
Roles
Data Engineer | Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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