Senior Data Scientist
- București
- Permanent
- Full-time
- Smoothly integrate within an Agile Development Team, consisting of DEVs, QAs, BAs, Data Scientists.
- Maintain and enhance existing Optimization Algorithms (Constraint Integer Programming) based on SCIP.
- Conceptualize and design ML models to optimize and transform bank processes in the Operations Area
- Contribute on both technical and business process transformation by introducing data science & ML/AI with focus on language models, pattern recognition, forecasting, optimization methods and reinforcement learning agents.
- Come with a good understanding of the current software development state of the art and contribute to architectural design of the automation of processes and workflows in a microservice environment.
- Translate business requirements into technical concepts; research and implement appropriate ML algorithms; apply suitable frameworks for solving constraint integer programs.
- Monitor performance of the models in production; ensure no degradation occurs below established metrics and retrain when needed.
- Work with Data Engineers to deploy and maintain models in production or to analyze/build data pipelines for new data sources.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Ability to write robust code in Python and use version control systems such as Git
- Proficiency in Data Science:
- Reflex Models - Supervised Learning/ Unsupervised Learning Methods for Regression and Classification; Gradient Boosting Models (LightGBM, XGBoost), Deep Learning Architectures with Neural Networks (ConvNets, Attention Models - Transformers, Recurrent Layers - GRU, LSTM
- State Based Models - Markov Decision Process - Reinforcement Learning and Deep Reinforcement Learning
- Variable Based Models - Constraint Satisfaction Problem - Large Scale Optimization Methods with Non-Linear Programming and Mixed Integer Linear Programming
- Advanced Topics: Meta Learning and Multitask Learning, Transfer Learning, NLP, Large Language Models, Generative AI, Fine Tuning and Few Shot Learning
- Python Libraries and Frameworks: scikit-learn, pytorch, keras, tensorflow, transformers, scipy, numpy, pandas, h5py, hyperopt, pyomo, ipopt, rlutil, lightgbm, langchain, huggingface
- Proficiency in Software Development with Python:
- Microservices Arhitecture and Environment: Flask, Django, FastAPI with Design Patterns and Security Frameworks
- CI/CD with Jenkins/Teamcity
- Kubernetes/Docker Platform
- Experience with training, evaluation and deployment of ML models
- Recommended experience with GCP, AWS or Azure Platform for Big Data and ML/AI Capabilities
- Awareness/information about DevOps practices like CI/CD
- Experience with Ops Transformation in banking sector
- Graduated AI, Data Science, ML, NLP, Statistics courses/certifications from a major university.
- Hands on knowledge of Shell Scripting
- Experience working in an Agile setup, practicing Scrum or Kanban
- Familiarity with Atlassian stack: Jira, Confluence, Bitbucket
- Familiarity with Elastic Search
- Familiarity with Camunda 7 and 8
- Familiarity with Kafka Event Streaming Methodology