Company DescriptionTechnology 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 AppWe 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.ResponsibilitiesBuild similar-symbol models (clustering / co-occurrence) on aggregate trading data, including minimum-activity thresholdsDevelop propensity models that score customers' likelihood to adopt new products,



from day one of the customer lifecycleExplore models linking significant price moves to news eventsDefine features, training data and evaluation metrics; validate models and set score thresholdsAnalyze content and in-app engagement data to identify drop-off and high-performing contentHand off production-ready models to ML Engineers and document methodology and assumptionsQualificationsMust have4+ years in applied data science, with models deployed to productionStrong Python and SQL; scikit-learn, XGBoost/LightGBM or similarRecommendation systems, clustering and propensity / classification modelingExperimental design and model evaluation (A/B testing, calibration, drift)Ability to explain modeling choices clearly to product and compliance stakeholdersNice to have

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