The Role
Own the end-to-end data science lifecycle for payment optimization, including feature generation, model development, tuning, validation, experimentation, and deployment. Build experimentation frameworks to measure conversion, declines, fraud, and merchant impact. Collaborate with data engineering, BI, infrastructure, and product teams to develop scalable pipelines and models. This role establishes DEUNA’s data science practice and may develop into people leadership.
Summary Generated by Built In
About DEUNA 🧡
We are a rapidly growing startup that simplifies global payments and powers next generation commerce in a single platform. With our products we've consolidated hundreds of payment solutions in a single integration, harness an intuitive payment orchestration method and centralize payment reconciliation.
We are currently present all across LATAM and looking for exceptional talent to join our team and continue revolutionizing the world of payments! 🚀
Visit https://www.deuna.com/ to learn more about us!
About the Role
We are looking for a hands-on data science leader to own machine learning and experimentation for DEUNA’s payments platform. You will be building the foundations of the data science practice at Deuna, working independently to design, train, and validate models that increase conversion, reduce declines, and reduce fraud in real-time payment flows across merchants and payment providers. You will be a part of the technology organization and will collaborate with project leads who own AI and modeling solutions for our customers, alongside existing data engineering and BI teams who already manage our data foundations and inference services. As DEUNA’s AI efforts grow, so will the team, and this role is a technical leadership role, with potential for people leadership if the skills align.
Who You Are
- You have 5+ years of experience applying machine learning to real production problems, ideally in payments, fintech, fraud, or other high-volume transactional environments.
- You think like a research scientist: you start from a problem, decide what data you need, choose the right modeling approach, and define how you will prove it works.
- You have hands-on depth in feature generation, model selection, training, and hyperparameter optimization, and you know when a simple model beats a complex one.
- You have designed and run experiments, including A/B testing and experimentation platforms, and can explain how you validated that a model delivered impact.
- You are proficient in Python and SQL and comfortable querying large datasets in tools like Snowflake. Familiarity with tools such as TensorFlow and Airflow is expected, and you can explain how you have managed and rolled out models.
- You are self-directed. You push for the information you need, and you do not need close supervision to keep work moving.
- You communicate clearly with technical and non-technical audiences, including setting realistic expectations with leadership about what models can and cannot achieve.
- You have experience in guiding technical infrastructure teams to implement features that enable efficient data science and ML training pipelines and systems
What You’ll Do
- Own the end-to-end modeling lifecycle for DEUNA’s payment optimization use cases: analyze merchant and transaction data, define modeling strategy, generate features, train and tune models, and release them through our existing inference infrastructure.
- Build the experimentation framework we need to measure model performance while collaborating with system and infra engineers, from early signals through month-over-month results, and tie that performance to commitments on our merchant contracts and product pipeline.
- Partner with data teams to define and track building of data processing pipelines that surface insights that shape what DEUNA delivers. You will use experiments and rapid model iteration to tailor approaches to merchant data and goals, and work with the existing models while building new ones.
What will you find when you join DEUNA?
- A multicultural team distributed throughout LATAM
- Dynamism, agility and constant innovation
- Being part of a high-impact solution for an entire region
- The best tools and technology to operate
- Being part of the startup culture.
- We are in full expansion!
Benefits:
Vacations and additional PTO 🏝️
Remote work from anywhere 💻
Economic support for internet and cell phone line📱🌐
We all own DEUNA, we offer stock options 💸
Multidisciplinary, diverse and dynamic team 🧡
Growth and career path 🚀
Be part of a dynamic team that's creating the next generation payments platform.
Join us at DEUNA!
DEUNA is proud to be an equal opportunity employer. We value and celebrate diversity and inclusion in our workplace. All employment decisions at DEUNA are made without discrimination based on nationality, race, ethnicity, religion, gender, sexual orientation, gender identity or expression, marital status, color, disability, or any other characteristic protected by law.
Skills Required
- 5+ years of experience applying machine learning to production problems
- Experience with feature generation, model selection, training, and hyperparameter optimization
- Experience designing and running experiments, including A/B testing
- Proficiency in Python and SQL
- Experience querying large datasets with tools such as Snowflake
- Familiarity with TensorFlow and Airflow
- Experience managing and deploying machine learning models
- Experience guiding infrastructure teams in building data science and ML training pipelines
- Experience in payments, fintech, fraud, or high-volume transactional environments
- Clear communication with technical and non-technical audiences
- Ability to work independently and self-direct work
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The Company
What We Do
DEUNA is an AI-powered orchestration and payments platform designed to simplify global commerce. It provides a unified platform to orchestrate global payments and accelerate commerce performance, helping large enterprises boost approval rates, reduce costs, and unlock new revenue through its ATHIA payment intelligence solution.
