Data Engineer+ Subject Matter Expert- Data Mining

5 days ago

Pune, India Newton School Full time

Job Description Key Responsibilities: - Develop and deliver comprehensive and engaging lectures for the undergraduate - Data Mining, BigData and Data Analytics courses, covering the full syllabus from - foundational concepts to advanced techniques. - Instruct students on the complete data lifecycle, including data preprocessing, - cleaning, transformation, and feature engineering. - Teach the theory, implementation, and evaluation of a wide range of algorithms for - Classification, Association rules mining, Clustering and Anomaly Detections. - Design and facilitate practical lab sessions and assignments that provide students - with hands-on experience using modern data tools and software. - Develop and grade assessments, including assignments, projects, and examinations, - that effectively measure the Course Learning Objectives (CLOs). - Mentor and guide students on projects, encouraging them to work with real-world or - benchmark datasets (e.g., from Kaggle). - Stay current with the latest advancements, research, and industry trends in data - engineering and machine learning to ensure the curriculum remains relevant and - cutting-edge. - Contribute to the academic and research environment of the department and the - university. - - Required Qualifications: - A Ph.D. (or a Masters degree with significant, relevant industry experience) in - Computer Science, Data Science, Artificial Intelligence, or a closely related field. - Demonstrable expertise in the core concepts of data engineering and machine - learning as outlined in the syllabus. - Strong practical proficiency in Python and its data science ecosystem, specifically - Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). - Proven experience in teaching, preferably at the undergraduate level, with an ability to - make complex topics accessible and engaging. - Excellent communication and interpersonal skills. Preferred Qualifications: - A strong record of academic publications in reputable data mining, machine learning, - or AI conferences/journals. - Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning - Engineer, or in a similar role. - Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning - frameworks (e.g., TensorFlow, PyTorch). - Experience in mentoring student teams for data science competitions or hackathons.

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