Das ist der Job
This role partners closely with cross-functional stakeholders to transform data into actionable insights.
Darum lohnt es sich
Overview
A leading financial services organization is seeking an experienced Data Scientist with deep expertise in AI, machine learning, and Python development. You design, build, and deploy scalable data-driven models that solve complex business challenges and drive strategic decision-making.
Key Responsibilities
Data Collection & Preparation
Ingest, clean, and preprocess large structured and unstructured datasets from multiple sources Perform exploratory data analysis (EDA) to identify trends, patterns, and data quality issues Develop and maintain robust ETL pipelines for efficient data transformation Architect, train, and deploy supervised, unsupervised, and deep learning models (classification, regression, clustering) Optimize model performance (accuracy, latency, scalability) using advanced frameworks (TensorFlow, PyTorch, Scikitlearn) Automate model retraining and monitoring workflows in production environments
Algorithm Engineering
Design and refine algorithms for large-scale data processing and real-time inference Implement best practices for model interpretability, fairness, and reliability
Software Engineering & Integration
Write clean, modular Python code following industry standards (Pan
