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We are seeking a highly skilled data Scientist with a strong background in data science and machine learning. The ideal candidate will be proficient in Python and PySpark, capable of building end-to-end models independently, and have a solid understanding of machine learning concepts, including supervised and unsupervised learning
Key Responsibilities
Develop, implement, and maintain machine learning models using Python and PySpark
Collaborate with the Data Science Center of Excellence (COE) to leverage best practices and advanced methodologies
Analyze large datasets to extract meaningful insights and identify trends
Design and conduct experiments to validate models and improve their performance
Communicate findings and recommendations to stakeholders in a clear and concise manner
Stay updated with the latest advancements in data science and machine learning
Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
Proven experience in data science and machine learning, with a strong portfolio of projects
Proficiency in Python and PySpark
Solid understanding of machine learning concepts, including supervised and unsupervised learning
Experience with data visualization tools and techniques
Strong problem-solving skills and attention to detail
Bachelor's or Master's degrees