Data Scientist, Cordial
Production Engineering
$140-175k
More information about location
Cross-channel marketing platform
Open for applications
Cross-channel marketing platform
201-500 employees
Open for applications
$140-175k
More information about location
201-500 employees
Company mission
To help the world's largest brands drive scalable revenue growth and lasting customer connections.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Connecting with customers via email, SMS, and messaging apps is a fantastic way for brands to boost engagement with their customers. Whilst this practice is prevalent, messages can often feel impersonal and spammy, despite data being available to personalize every connection.
Cordial provides a cross-channel marketing and data management platform for businesses, helping them aggregate and maximize customer data used to personalize communication across email, SMS, and mobile apps. The company achieves this by leveraging AI to transform data and provide predictive intelligence, which can be applied dynamically for marketing campaigns of any scale.
While competition in the marketing tool space is fierce, Cordial has secured substantial funding, positioning it for growth on a global scale. This funding infusion will be directed towards expanding its global presence, advancing product development, and bolstering the team, a testament to its commitment to redefining customer engagement through data-driven personalization.
Freddie
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2022
$50m
SERIES C
Mar 2021
$10m
LATE VC
Total funding: $83.1m
Company benefits
- Full health coverage - We cover your costs at 100%, plus 80% of your family’s cost. Plus, our monthly wellness allowance can be used for whatever you need to feel your best
- Competitive compensation - We know pay is a big deal. Base salaries are important, but so are company equity, bonuses, cell phone allowances, 401(k) program, and more
- Unlimited time off - Unlimited, and highly encouraged. More vacations = happier employees. Life happens, and we know the value of a flexible schedule
- Fully remote team - Wherever you live, we have the tools you’ll need to WFH, or from anywhere! We’re based in Southern California, but many of our teams are fully remote
- Paid parental leave - Starting a family is special. We’ll cover 100% of your salary so you can focus on those critical first months with your little one
Company HQ
Core-Columbia, San Diego, CA
Leadership
Jeremy Swift
(Co-Founder & CEO)Vice President of Sales and Strategic Accounts for BlueHornet from 2011 to 2014.
Adam Gillespie
(Co-Founder & CTO)Experience as Principal Architect and Engineer for BlueHornet from 2004 to 2014. Founder of Bandfarm since 2003.
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