P
Applied Data Scientist
Sin especificarTiempo completoData ScienceFinTechEnterprise Software
Build and deploy models that turn financial transaction data into customer insights. Work with Product and Engineering from problem evaluation through production and ongoing improvement.
Responsabilidades
- Frame analytical problems, review existing approaches, and assess available evidence and data
- Engineer features and design models using suitable machine learning, deep learning, LLM, or agentic approaches
- Prepare model specifications, evaluation evidence, and risk documentation for regulated production use, and support reviews
- Partner with Engineering to take solutions from proof of concept to live service, including integration and controlled rollout
- Monitor model performance, drift, and business KPIs in production and improve models based on observed results
Requisitos
- At least 2 years of hands-on data science experience in a product environment
- Strong Python skills, including Pandas, NumPy, scikit-learn, and PyTorch
- Experience with tabular machine learning, feature engineering, gradient-boosted trees, and model evaluation
- Hands-on experience building GenAI or LLM applications, including RAG, prompt engineering, and evaluation
- Experience building agentic systems with tool use, multi-step workflows, and orchestration
- Clear technical writing and ability to explain models to non-technical audiences
Se valora
- FinTech or banking experience
- Transformer fine-tuning and production inference
- Experience launching and monitoring production models
- AWS or Azure experience