✨ AI Insights & Summary
Cordial offers a compelling opportunity for a Data Scientist specializing in Production Engineering to join a mission-driven company focused on bringing humanity and empathy to marketing technology. You'll be instrumental in operationalizing, optimizing, and scaling sophisticated data science models and systems, including ML and LLMs, that drive revenue for major brands. This role is ideal for an independent, quick-ramping individual who thrives on building robust, production-ready data science solutions and collaborating across teams. With a competitive salary, strong benefits, and a culture that values DE&I and work-life balance, Cordial provides a platform for significant impact and professional growth.
Job Title: Data Scientist – Production Engineering
About Cordial
Founded in 2014, Cordial is built on the belief that marketing should be more human and empathetic. Our platform empowers brands like PacSun, Revolve, and Abercrombie & Fitch to drive revenue growth through more thoughtful and personal customer communication. We foster a culture of transparency, collaboration, and trust, driven by a passionate team committed to continuous improvement.
Our Values
- Communicate better than the rest
- Own it, every time
- Solve client problems tenaciously
- Make Waves
Role Overview
We are expanding our data science team with a Data Scientist – Production Engineering. This role focuses on the operationalization, optimization, and scaling of data science models and systems that are in or transitioning to production. Our data science work encompasses statistical models, optimization logic, heuristics, rules-based systems, ML, and LLM models operating on large-scale, real-world datasets. You will strengthen the implementation and performance aspects of our data science stack, working closely with data scientists, engineering, and product teams. This position requires the ability to ramp up quickly, work independently, and contribute meaningfully from the outset.
Key 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.
- Improve efficiency when working with large datasets, focusing on memory usage, runtime, and compute costs.
- Contribute to and maintain production data pipelines and workflows.
- Collaborate with data scientists to ensure model intent, correctness, and assumptions are preserved while enhancing implementation quality.
- Debug and resolve issues within production or near-production data science workflows.
- Enhance the robustness, monitoring, and maintainability of deployed models and pipelines.
- Support iterative model improvements and system evolution in response to changing business needs.
Required Experience & Qualifications
- 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 solely 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).
- Expertise in cloud platforms, 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 enterprise-scale event datasets.
- Solid understanding of data science fundamentals, including statistics and modeling concepts, sufficient for close collaboration with research-oriented data scientists.
- Ability to work independently and quickly ramp up within an existing codebase and system.
- Experience working in small, fast-moving teams where ownership and autonomy are expected.
Compensation & Benefits
- Base salary range: $140,000.00 - $175,000.00 annually (may be adjusted based on experience and location).
- Compensation package includes equity and bonus.
- Robust benefits plan: medical/dental/vision/life insurance.
- 401(k) match.
- Flexible time off and paid company holidays.
- Perks: Annual company conference, childcare reimbursement, continued education reimbursement.
- Commitment to healthy work/life balance, DE&I efforts, and a respectful, open culture.
Application Instructions
- Resume file name must be: FIRSTNAME-LASTNAME-CORDIAL2026 (e.g., JOE-DOE-CORDIAL2026).
- Applications not following this naming convention will be automatically rejected.
- Accepted file formats: PDF or Word (.docx).
Work Authorization
- As of January 1, 2026, Cordial does not provide visa sponsorship, visa transfers, or immigration support for new hires.