DATA SCIENTIST

Description

Job Summary: We are seeking a Data Scientist to design, train, and deploy advanced predictive and descriptive models with high impact for the financial sector. Key Highlights: 1. Professional growth with experts and high-impact projects. 2. Continuous training and a personalized career plan. 3. A collaborative work environment focused on development. **Join Bluetab** -------------------- At Bluetab, we don’t hire “resources.” We hire talent that wants serious growth. We are tech-focused, demanding, and yes—we move fast. But here, no one works alone. We operate as a team, without unnecessary hierarchies, and with a genuine focus on development. If you seek challenges that push you beyond your comfort zone (because no one grows there), you’re in the right place. Here, you’ll learn from experts, work on high-impact projects, and stay consistently ahead in technology. #### **JOB DESCRIPTION: DATA SCIENTIST** We are looking for a **Data Scientist** to design, train, and deploy advanced predictive and descriptive models with high impact for the financial sector. Your primary objective will be to transform large volumes of transactional and behavioral data into propensity models, ensuring their technical and regulatory explainability to drive strategic business decisions. #### **Your day-to-day in this role:** * Design, train, and evaluate advanced predictive models, identifying the winning algorithm through rigorous experimentation. * Develop propensity models for financial products (loans, credit cards), ensuring their explainability (SHAP values) for regulatory bodies. * Identify, extract, process, and document data sources (demographic, transactional, digital channels) for feature engineering. * Apply data validation methodologies, consistency testing, and preparation of algorithmic training inputs. * Build reports, dashboards, and interactive management views that translate technical findings into actionable business insights. #### **What we need from you:** * **3+ years** of experience working as a *Data Scientist* or in related roles. * Solid experience developing predictive and propensity models in the financial sector. * Proficiency in the *Machine Learning* stack: **Python**, **R**, or **PySpark**, along with **Advanced SQL**. * Practical experience with **Amazon SageMaker** and algorithms such as **XGBoost** or **Random Forest**. * In-depth knowledge of model explainability (**SHAP values**) and justification before regulatory authorities. **Profile That Fits** ------------------------- * You’re passionate about technology and keep up-to-date (because falling behind is not an option). * You work by objectives and aren’t intimidated by demanding environments. * You communicate clearly and know how to build trust with clients and teammates. * You analyze, solve problems, and negotiate with sound judgment. * You’re autonomous, collaborative, and adapt well to flat organizational structures. **What You’ll Get** -------------------- * Indefinite-term contract \+ competitive salary aligned with your level and performance. * Continuous training (real—not superficial). * A personalized career plan: technical, functional, or managerial—you choose your path. * Solid benefits: EPS health insurance, Food Card. **If You Want Serious Evolution** ----------------------------------- Bluetab, an IBM Company, is for those who seek impact, growth, and teamwork. If technology drives you and you want to play in a different league, apply now. **Let’s talk.**