Data Scientist (Data Mining) & Instructor

Role Overview: You will be responsible for utilizing your expertise in data science and data engineering to preprocess, clean, transform, and engineer features. Your role will involve working with Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries like Matplotlib and Seaborn. Additionally, you will need to have in-depth knowledge of various machine learning algorithms for classification, clustering, association rule mining, and anomaly detection. Your experience in implementing and evaluating models will be crucial in this role. Key Responsibilities: - Utilize your expertise in data science and data engineering to preprocess, clean, transform, and engineer features - Demonstrate strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn - Apply in-depth knowledge of machine learning algorithms for classification, clustering, association rule mining, and anomaly detection - Implement and evaluate models to solve complex data science problems Qualifications Required: - Minimum 5+ years of experience in Data Science and Data Engineering - Strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn - In-depth knowledge of machine learning algorithms for classification, clustering, association rule mining, and anomaly detection - Experience in implementing and evaluating models (Note: No additional details about the company were provided in the job description.) Role Overview: You will be responsible for utilizing your expertise in data science and data engineering to preprocess, clean, transform, and engineer features. Your role will involve working with Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries like Matplotlib and Seaborn. Additionally, you will need to have in-depth knowledge of various machine learning algorithms for classification, clustering, association rule mining, and anomaly detection. Your experience in implementing and evaluating models will be crucial in this role. Key Responsibilities: - Utilize your expertise in data science and data engineering to preprocess, clean, transform, and engineer features - Demonstrate strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn - Apply in-depth knowledge of machine learning algorithms for classification, clustering, association rule mining, and anomaly detection - Implement and evaluate models to solve complex data science problems Qualifications Required: - Minimum 5+ years of experience in Data Science and Data Engineering - Strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn - In-depth knowledge of machine learning algorithms for classification, clustering, association rule mining, and anomaly detection - Experience in implementing and evaluating models (Note: No additional details about the company were provided in the job description.)