Data Scientist - Production Engineering
New
C
Cordial Experience Inc.Marketing Technology
Remote (US)Full-TimeMiddle
Salary140,000 - 175,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonMachine LearningSnowflakeAirflowBigQuery
Requirements
- Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
- 3+ years of experience working with real-world, industry, or production data in a data science, applied ML, or analytics role
- Demonstrated experience contributing to production data science or analytics systems
- Strong programming skills in Python
- Experience writing maintainable, production-quality code
- Experience working with large datasets and performance-sensitive workflows
- Prior experience with data pipelines and orchestration frameworks (e.g., Dagster, Airflow)
- Cloud platform expertise, particularly AWS (Glue, Athena, ECS, S3)
- Hands-on experience with modern data warehouse solutions (Snowflake, BigQuery)
- Experience with big data technologies and distributed computing frameworks
- Solid understanding of data science fundamentals, statistics, and modeling concepts
Responsibilities
- Optimize existing data science models and systems for performance, scalability, and reliability
- Translate research-grade or prototype data science code into production-ready implementations
- Work with large datasets and improve efficiency related to memory usage, runtime, and compute cost
- Contribute to and maintain production data pipelines and workflows.
- Collaborate closely with other data scientists to preserve model intent, correctness, and assumptions while improving implementation quality
- Debug and resolve issues in production or near-production data science workflows
- Improve robustness, monitoring, and maintainability of deployed models and pipelines
- Support iterative model improvements and system evolution as business needs change
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