Data Scientist - Production Engineering

Cordial; United States; On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Equity

Bonus

401k match

Flexible time off

Paid company holidays

Annual company conference

Childcare reimbursements

Continued education reimbursements

Job summary

Cordial, based in the United States, is looking for a Data Scientist – Production Engineering to enhance operational efficiency of their data science models. This role involves optimizing models, and production data pipelines and requires strong experience in managing real-world data and programming, particularly in Python.

The position offers a competitive salary between $140,000 and $175,000 depending on experience, along with a comprehensive benefits package including equity, bonus, and flexible time off.

Qualifications

• 3+ years of experience working with real‑world data in a data science role.
• Experience contributing to production data science systems.
• Proficient in performance-sensitive workflows.

Responsibilities

• Optimize existing data science models for performance and reliability.
• Translate research data science code into production implementations.
• Contribute to and maintain production data pipelines.

Skills

Python

Data Science

Cloud services (AWS)

Data pipelines

Collaboration

Education

Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics

Tools

Dagster

Airflow

Snowflake

BigQuery

Job description

About Cordial We 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.

OUR VALUES

• Communicate better than the rest
• Own it, every time
• Solve client problems tenaciously
• Make Waves

Role Overview

We 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 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

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 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

Compensation & 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 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.

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.