Senior Data Scientist
3 meses atrás
We are seeking a highly skilled and experienced Senior Data Scientist to lead the development of data-driven solutions that have a direct impact on our business. The ideal candidate will have a strong foundation in machine learning, statistics, and data analysis, with experience in building and deploying models into production environments.
Responsibilities: Design and implement scalable, efficient, and maintainable machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow).Utilize Apache Spark (PySpark) for distributed data processing on large datasets.Apply statistical techniques to assess model performance and ensure robustness.Mentor junior data scientists, providing technical guidance and support in best practices.Present findings and recommendations to stakeholders and senior management in a clear and actionable manner.Stay up-to-date with the latest developments in machine learning, data science, and related technologies to drive innovation within the team.Ensure best practices for version control, reproducibility, and model monitoring in production environments.Requirements: Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, or a related field.5+ years of hands-on experience in building, deploying, and maintaining machine learning models in production.Strong expertise in machine learning algorithms and statistical modeling.Proficiency in the Python machine learning ecosystem (scikit-learn, TensorFlow, PyTorch, etc.).Experience with Apache Spark (PySpark) for large-scale data processing.Deep understanding of Object-Oriented Programming (OOP) principles and software development best practices.Experience working with cloud platforms like Azure and using Databricks for data science workflows.Familiarity with Deep Learning algorithms and techniques.
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