Data Scientist - Production Engineering
Tasks
- Build and maintain production data pipelines and workflows
- Collaborate on iterative model improvements and system evolution
- Debug and resolve production data science workflow issues
- Implement monitoring and robustness for deployed models and pipelines
- Improve efficiency for memory runtime and compute cost
- Maintain model intent correctness and assumptions in production
- Optimize production data science models for performance scalability and reliability
- Translate prototype data science code into production implementations
Perks/Benefits
- 401k match
- Annual Company Conference
- Childcare support
- Continued Education Reimbursements
- Flexible time off
- Paid Company Holidays
Skills/Tech-stack
AWS Glue | Amazon Athena | Amazon ECS | Amazon S3 | Apache Airflow | Big Data | Clustering | Dagster | Data Pipelines | Data Warehousing | Distributed Computing | Google BigQuery | Heuristics | Language Models | Large Language Models | Machine Learning | Optimization | Python | Query Optimization | Rules based | Rules-based systems | Snowflake | Statistical modeling | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Science | Data Science Engineer | Data Scientist | Engineer | Scientist
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