* Salário: R$ 3.000 a R$ 6.000 por mês (estimado)

* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.

Área: Tecnologia da Informação

Nível: Junior

Objective

The objective of this role is deciphering the “DNA” of RJ’s best-performing financial advisors and developing a real-time recommendation system that pushes each Financial Advisor (FA) in RJ to reach new performance levels.

This role goes beyond reporting historical data. The Data Scientist will develop predictive models capable of forecasting the actions that lead to success and integrate those insights directly into the FA workflow, enabling data-driven decision-making.

Key Feature for Success in This Role

Strong communication skills

Key Responsibilities (including but not limited to)

Behavioral Feature Engineering
Peer-Group Clustering
Explainable AI implementation (SHAP / LIME / others)
Developing models that forecast actions leading to higher advisor performance
Building real-time recommendation systems
Delivering production-grade use cases focused on personalized recommendations and business decision support

Technical Requirements (including but not limited to)

Deep experience with XGBoost / LightGBM
Experience with K-Means / DBSCAN (for clustering) or similar advanced clustering techniques
Proven track record of delivering production-grade ML use cases focused on personalized recommendations or business decisions
Knowledge and exposure to Graph Databases, including the ability to query graphs to create features for ML models
Expert-level Python, SQL, and Machine Learning libraries
Experience with Amazon SageMaker
Familiarity with MLOps

Domain Knowledge

Wealth Management

📩 If you have experience building ML models that drive real business impact, especially within financial advisory or wealth management environments, this could be a great opportunity.