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ABOUT CORDIALWe founded Cordial in 2014 on the belief that there should be more humanity and empathy in marketing—both in how brands communicate with their customers and in how technology companies work with brands. We built our company and platform purposefully, driven by a desire to inspire more thoughtful communication and to create experiences that feel more personal and human—for consumers, for the people at the companies we work with, and for Cordial employees. Today, brands like PacSun, Revolve, Abercrombie & Fitch, Realtor.com, L.L. Bean and Forbes rely on Cordial to drive revenue growth by sending a better message.We chose the name Cordial to symbolize how we empower our clients to communicate with their customers, as well as how we do business: with transparency, collaboration, and trust. We're building a passionate team of individuals willing to learn, grow, and be thoughtfully challenged on a daily basis to continuously improve our product, company, and culture every single day.OUR VALUESCommunicate better than the restOwn it, every timeSolve client problems tenaciously Make WavesRole OverviewWe are looking to add a Data Scientist – Production Engineering to our data science team. This role focuses on operationalizing, optimizing, and scaling data science models and systems that are already in production or transitioning into production.Our data science work extends beyond traditional machine learning and includes statistical models, optimization logic, heuristics, rules-based systems, ML and LLM models, all operating on large, real-world datasets. This role is designed to strengthen the implementation and performance side of our data science stack while working closely with data scientists, engineering and product teams. This role requires someone who can ramp up quickly, work independently, and contribute meaningfully without extensive onboarding.Key ResponsibilitiesOptimize existing data science models and systems for performance, scalability, and reliabilityTranslate research-grade or prototype data science code into production-ready implementationsWork with large datasets and improve efficiency related to memory usage, runtime, and compute costContribute to and maintain production data pipelines and workflows.Collaborate closely with other data scientists to preserve model intent, correctness, and assumptions while improving implementation qualityDebug and resolve issues in production or near-production data science workflowsImprove robustness, monitoring, and maintainability of deployed models and pipelinesSupport iterative model improvements and system evolution as business needs changeRequired Experience & QualificationsBachelor’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 roleDemonstrated experience contributing to production data science or analytics systems, not only exploratory or academic projectsStrong programming skills in Python and experience writing maintainable, production-quality codeExperience working with large datasets and performance-sensitive workflowsThe code word is #becordialPrior 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 deploymentsHands-on experience with modern data warehouse solutions (Snowflake, BigQuery, etc.) including query optimization, clustering strategies, and cost managementExperience with big data technologies and distributed computing frameworks for handling enterprise-scale event datasetsSolid understanding of data science fundamentals, including statistics and modeling concepts, sufficient to work closely with research-oriented data scientistsAbility to work independently and ramp up quickly in an existing codebase and systemExperience working in small, fast-moving teams where ownership and autonomy are expectedCOMPENSATION & BENEFITS$140,000.00 - $175,000.00 base salary annually. The compensation range may be adjusted based on experience and location. In combination with base salary, Cordial's compensation package includes equity and bonus, a robust benefit plan (medical/dental/vision/life), 401k match, flexible time off and paid company holidays. Additionally, we offer perks such as an annual company conference, childcare and continued education yearly reimbursements. We pride ourselves in maintaining a healthy work/life balance, a strong dedication to DE&I efforts, and an overall respectful and open culture!APPLICATION INSTRUCTIONSResume Submission Requirement — Please Read CarefullyWhen uploading your resume, your file must be named in the following format:FIRSTNAME-LASTNAME-CORDIAL2026Example: JOE-DOE-CORDIAL2026Applications 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 AUTHORIZATIONAs 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.Cordial is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability status, sex (including pregnancy), age, gender, gender identity or expression, sexual orientation, marital status, veteran status, or any other characteristic protected by law.Cordial is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
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