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описание
The organization develops data-driven solutions within a large financial organization. It brings together data science, software engineering, and business to turn complex datasets into scalable solutions for real-world applications.
задачи
Develop and productionize machine learning models
Analyze large and complex datasets to identify patterns and opportunities
Build data processing and feature engineering pipelines
Develop Python-based data and machine learning solutions
Collaborate with Data Engineers, Software Engineers, and business stakeholders
Experiment with statistical and machine learning techniques
Deploy, monitor, and improve models in production
Contribute to MLOps and model lifecycle management
Translate business challenges into scalable technical solutions
требования
5+ Years of experience in Data Science, Machine Learning, or a related field
Strong Python skills
Strong understanding of statistics and machine learning
Experience with pandas, NumPy, and scikit-learn or similar frameworks
Experience working with large datasets
Experience bringing models into production
Understanding of software engineering principles
Experience working in multidisciplinary Agile teams
Будет плюсом: Azure, Databricks or Spark, MLOps, MLflow or similar tooling
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