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Data Scientist
Indeed
Full-time
Onsite
No experience limit
No degree limit
Pje. Centenario 130, C1405 Cdad. Autónoma de Buenos Aires, Argentina
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Description

We are **MODO**, the fintech of Argentine banks that is revolutionizing the way people pay and save through promotions in Argentina. We sit at the heart of the payments ecosystem, developing innovative payment experiences via QR, NFC, and online channels across all payment methods, and building the best place to create and enjoy promotions. We want you to join our **Data Science** team to transform how we make decisions, personalize experiences, and generate value within the Argentine financial ecosystem. We’re looking for curious, analytical minds ready to rethink how we use data to understand our users, optimize processes, and build smarter products. You’ll work with millions of real-world interactions, within an organization that bets on artificial intelligence as a driver of change. If you’re motivated to lead end-to-end projects, build models that go into production, and collaborate in teams to solve complex problems with tangible impact, this challenge is for you. At MODO, you’ll find scale, complexity, autonomy, and room to grow. Our team is constantly evolving, and today we need to bring on board a **Data Scientist** to keep growing. **What will your main responsibilities be?** * Design, train, and deploy machine learning models that deliver real business impact (e.g., recommendations, propensity modeling, segmentation, etc.). * Lead end-to-end Data Science projects: from ideation and definition through to production monitoring. * Define and apply best practices for model development: versioning, validation, reproducibility, documentation, and monitoring. * Collaborate with ML Engineers to design robust, scalable, and automated pipelines. * Work closely with Product, Business, and Technology teams to understand problems, formulate hypotheses, and translate them into data-driven solutions. * Design and analyze experiments (A/B tests) to evaluate model impact. * Mentor other Data Scientists and contribute to the team’s continuous improvement. * Explore new techniques, technologies, and data sources to strengthen the strategic use of artificial intelligence at MODO. **What do we expect from you?** * +5 years of hands-on experience applying machine learning to business problems. * Bachelor’s degree in Statistics, Economics, Actuarial Science, Mathematics, Engineering, Physics, Computer Science, or a related field. * Strong proficiency in Python (pandas, scikit-learn, numpy, poetry, etc.) and SQL. * Solid experience using AI Assistant Coding tools (Cursor, Windsurf, Copilot). * Experience working with large-scale datasets in modern data warehouses (preferably Snowflake). * Experience in offline validation, A/B testing, and production model monitoring. * Autonomy to lead high-impact technical projects, prioritizing both quality and business outcomes. * Ability to clearly communicate findings and results to both technical and non-technical audiences. **Nice-to-have qualifications:** * Experience in fintech, e-commerce, or large-scale digital products. * Knowledge of recommendation systems, ranking models, and propensity models. * Familiarity with MLOps frameworks (MLflow, SageMaker, etc.). * Experience integrating models with APIs or microservices. * Experience with LLMs or intelligent agents. * Experience working with embeddings and vector databases. * Experience with AWS. **What do we offer?** * 10 business days of vacation + 5 MODO days. * Health insurance for you and your family. * Reimbursement via the MODO app for lunches and commuting. * Gympass membership and discounts at Sport Club for physical activity. * Extended leave policies (marriage, maternity, paternity, and others). * Training platform and university discounts to enhance and expand your knowledge. * Birthday day off and half-day off for your children’s birthdays. * Team-building activities. * Opportunity to grow in a flexible, dynamic, and rapidly expanding environment. If you’re interested in working within an agile and autonomous team inside a company from its inception—where each role has enormous scope for action—we’re waiting for you!

Source:  indeed View original post
Sofía González
Indeed · HR

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