Mumbai, Maharashtra, India
Information Technology
Full-Time
Newton School
Overview
Role & Responsibilities
We are currently looking for a Data Engineer + Instructor – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.
Key Responsibilities
We are currently looking for a Data Engineer + Instructor – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.
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.
- A Ph.D. (or a Master's 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.
- 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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