Applied Data Scientist

Applied Data Scientist
Description

Personetics is the global leader in financial data-driven personalization, helping financial institutions deepen client relationships through enhanced financial wellness. We serve 130+ financial institutions and reach 150 million customers across 35 global markets, with offices in New York, London, Singapore, São Paulo, and Tel Aviv.

About The Position

We are looking for a skilled Applied Data Scientist to drive impactful ML/DL research, model development, and optimization. This role involves designing, building, and deploying innovative machine learning models while ensuring seamless production integration and ongoing model performance monitoring.

If you enjoy solving real-world challenges through cutting-edge data science and want to work on impactful projects, we'd love to hear from you!

Responsibilities

Research & Model Development:

Design and develop innovative ML models aligned with the company's strategic objectives.
Conduct exploratory data analysis, feature engineering, and model specification documentation.
Implement model optimization techniques to enhance performance and minimize drift.

Model Deployment & Monitoring:

Ensure seamless MVP finalization and transition of models into production.
Build robust monitoring pipelines for ongoing model evaluation and reliability.
Troubleshoot and enhance existing models by integrating new features and improving efficiency.

Cross-Functional Collaboration:

Work closely with Product Managers, Engineers, and stakeholders to align AI initiatives with business needs.
Effectively communicate complex data science concepts to non-technical audiences.

Requirements

2+ years in a Data Scientist or related role.
Strong proficiency in Python (Pandas, NumPy, PyTorch).
Experience with tabular data (preprocessing, cleaning, and feature engineering).
Strong analytical and problem-solving skills.
Ability to work in fast-paced, product-driven environments.

Nice to have

Experience in FinTech or banking (preferred but not required).
Familiarity with Large Language Models (LLMs) and their applications.
Experience with cloud platforms (AWS, Azure, GCP).
Job ID 40.159