Related skills
bigquery aws snowflake python airflowπ Description
- Operationalize, optimize, and scale data science models in production.
- Work with large real-world datasets and production pipelines.
- Collaborate with data scientists, engineering, and product teams.
- Ramp up quickly in a fast-paced, autonomous environment.
- Focus on performance, scalability, and reliability of systems.
- Maintain and improve production data workflows.
π― Requirements
- Bachelor's degree or higher in a quantitative field; 3+ years of prod data experience
- Production data science or analytics systems experience
- Strong Python programming; production-quality code
- Experience with large datasets and performance-sensitive workflows
- Experience with data pipelines and orchestration (Dagster, Airflow)
- AWS cloud services for scalable data processing and model deployments
π Benefits
- Medical, dental, vision, and life insurance
- 401(k) match
- Flexible time off and paid holidays
- Annual company conference
- Childcare and continued education reimbursements
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