Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a general shift by doing work that matters.

Data Scientist – Mobile Trading App

We are seeking a Data Scientist to design, build and validate the machine learning models behind personalization features in our new mobile trading app, working within guardrails set by our Compliance team.

Responsibilities

- Build similar-symbol models (clustering / co-occurrence) on aggregate trading data, including minimum-activity thresholds
- Develop propensity models that score customers’ likelihood to adopt new products,



from day one of the customer lifecycle
- Explore models linking significant price moves to news events
- Define features, training data and evaluation metrics; validate models and set score thresholds
- Analyze content and in-app engagement data to identify drop-off and high-performing content
- Hand off production-ready models to ML Engineers and document methodology and assumptions

Qualifications

- Must have
- 4+ years in applied data science, with models deployed to production
- Strong Python and SQL; scikit-learn, XGBoost/LightGBM or similar
- Recommendation systems, clustering and propensity / classification modeling
- Experimental design and model evaluation (A/B testing, calibration, drift)
- Ability to explain modeling choices clearly to product and compliance stakeholders
- Nice to have

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📌 Senior Python Data Engineer — Remote Ai Backend For Marketing (Rosario)
🏢 EPAM Systems
📍 Rosario