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Data Scientist
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Full-time
- The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
- Strong proficiency in SQL, Python, R, and other relevant programming languages.
- Solid understanding of machine learning, deep learning, and natural language processing.
- Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
- Machine Learning and Deep Learning - Apply machine learning and deep learning techniques to solve complex business problems.
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