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Join MTS as a Middle+/Senior Data Scientist to develop ML models for spam detection and fraud analysis. Engage in feature engineering and collaborate with business stakeholders.
Join MTS as a Middle+/Senior Data Scientist to develop ML models for spam detection and fraud analysis. Engage in feature engineering and collaborate with business stakeholders.
Responsibilities
- Support and develop ML models for detecting phone spam and fraud (tabular models and NLP: text classification, call transcript analysis);
- Engage in feature engineering, extracting useful signals from various data sources;
- Participate in building the pipeline from data to production inference (training, optimization, monitoring);
- Assist in task formulation and data quality management;
- Communicate with business stakeholders: help formalize tasks, agree on metrics, explain model limitations and results;
- Propose and test new approaches for spam detection and fraudulent scenarios.
Requirements
- 3+ years of experience in Data Science / ML;
- Good understanding of classical ML and practical experience in feature engineering;
- Experience in deploying ML models and their maintenance;
- Experience in fine-tuning NLP models for specific tasks: classification, NER;
- Ability to translate business tasks into ML formulations and clearly explain results;
- Proficient skills in Python and SQL;
- Bonus: PySpark, Hadoop, MLOps.