Cordial Experience Inc. - Data Scientist - Production Engineering
Requirements
• 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 • , plus 3+ years of experience working with real-world, industry, or production data • Demonstrated experience contributing to production data science or analytics systems, not only exploratory or academic projects • production data science or analytics systems • Strong programming skills in Python and experience writing maintainable, production-quality code • Experience working with large datasets and performance-sensitive workflows • large datasets • The code word is #becordial • Prior experience with data pipelines and orchestration frameworks (e.g., Dagster, Airflow, etc.) • data pipelines and orchestration frameworks • 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 • data warehouse solutions • query optimization • Experience with big data technologies and distributed computing frameworks for handling enterprise-scale event datasets • big data technologies • 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 • small, fast-moving teams
Responsibilities
• Optimize existing data science models and systems for performance, scalability, and reliability • performance, scalability, and reliability • Translate research-grade or prototype data science code into production-ready implementations • 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. • production data pipelines and workflows. • Collaborate closely with other data scientists to preserve model intent, correctness, and assumptions while improving implementation quality • model intent, correctness, and assumptions • 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
Benefits
• APPLICATION INSTRUCTIONS • Resume Submission Requirement — Please Read Carefully • When uploading your resume, your file must be named in the following format: • FIRSTNAME-LASTNAME-CORDIAL2026 • Example: JOE-DOE-CORDIAL2026 • Applications that do not follow this naming convention exactly will be automatically rejected and will not be reviewed. Please double-check your file name before submitting. • Accepted file formats: PDF or Word (.docx) • WORK AUTHORIZATION • As of January 1, 2026, Cordial does not provide visa sponsorship, visa transfers, immigration support, or employment-related documentation for immigration purposes, including letters supporting visa applications, renewals, transfers, or work authorization, for new hires.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT