[Remote] Data Scientist - Production Engineering
Note: The job is a remote job and is open to candidates in USA. Cordial is a company focused on enhancing human-centered marketing through technology. They are seeking a Data Scientist - Production Engineering to optimize, operationalize, and scale data science models and systems, working closely with data scientists and engineering teams.
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
Skills
- Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, plus 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, not only exploratory or academic projects
- Strong programming skills in Python and 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, etc.)
- Cloud platform expertise, particularly AWS services (Glue, Athena, ECS, S3 Tables, etc.) for scalable data processing and model deployments
- Hands-on experience with modern data warehouse solutions (Snowflake, BigQuery, etc.) including query optimization, clustering strategies, and cost management
- Experience with big data technologies and distributed computing frameworks for handling enterprise-scale event datasets
- Solid understanding of data science fundamentals, including statistics and modeling concepts, sufficient to work closely with research-oriented data scientists
- Ability to work independently and ramp up quickly in an existing codebase and system
- Experience working in small, fast-moving teams where ownership and autonomy are expected
Benefits
- Equity and bonus
- A robust benefit plan (medical/dental/vision/life)
- 401k match
- Flexible time off and paid company holidays
- An annual company conference
- Childcare and continued education yearly reimbursements
Company Overview