Intern Data Science in Avito's Antifraud team. Development of fraud detection algorithms using ML and NLP.
Tasks:
- develop and improve fraud detection algorithms
- create and refine heuristics and ML models
- work with text classification tasks: experiment with different architectures and targets
- prepare, label, and analyze data
- evaluate model quality and track their performance in production
- analyze the effectiveness of solutions based on data and business metrics
- participate in the implementation of ML solutions
Requirements:
- have basic knowledge in ML / Data Science and be familiar with NLP tasks
- be able to work with data and write in Python (Pandas, NumPy), be familiar with Jupyter Notebook
- possess SQL skills for data extraction
- understand basic ML methods and their applicability
- be willing to learn, work in a team, and accept feedback
- read technical materials in English
- be prepared for extensive oral communication
Conditions:
- official paid internship
- internship period — 6 months
- work format — remote, hybrid (discussed individually based on ИПРА), 5/2
- great adaptation program, professional mentors, and immersion in tasks from day one
- intern community for sharing experience and mutual support
- equipment for productive work and meal compensation
- access to corporate online libraries "MIF" and "Alpina"
Skills:
- Python
- Pandas
- NumPy
- Jupyter Notebook
- SQL
- ML
- NLP
