Data Scientist – Production Engineering

🕒 June 5

🇺🇸 United States – Remote

💵 $140k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏭 Production Engineer

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Cordial

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Cordial is a marketing technology company that specializes in cross-channel messaging and data-driven personalization. It offers a suite of tools including AI-driven customer data platform, journey orchestration, and identity resolution to enhance the personalization of marketing campaigns across email, SMS, and mobile apps. Cordial integrates customer data and orchestrates campaigns to drive higher revenue per message and improve marketer productivity, earning recognition for its AI capabilities. The platform helps businesses understand customer behaviors, create unified profiles, and execute marketing strategies at scale, all while ensuring a more human user experience.

📋 Description

• 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

🎯 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 • 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 • The code word is #becordial • 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

• robust benefit plan (medical/dental/vision/life) • 401k match • flexible time off • paid company holidays • annual company conference • childcare reimbursement • continued education yearly reimbursements • healthy work/life balance • strong dedication to DE&I efforts • overall respectful and open culture