Instructor (Data Science)

Office Location: Lohegaon, Pune Experience: 5-10 Years Max Notice Period: 60 Days 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**: - 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. **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. Perks, Benefits and Work Culture - Competitive salary packages aligned with industry standards. - Access to state-of-the-art labs and classroom facilities. - Contribution to cutting-edge academic work in collaboration with the Newton School of Technology and Rishihood University, Sonipat, and Ajeenkya DY Patil University Pay: ₹3,800,000.00 - ₹5,000,000.00 per year Application Question(s): - Strong Data Science / Machine Learning Profile - Mandatory (Experience) - Must have 5+ years in Data Science and Data Engineering, with expertise in data preprocessing, cleaning, transformation, and feature engineering. - Mandatory (Skills 1) - Strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn. - Mandatory (Skills 2) - In-depth knowledge of machine learning algorithms, including classification, clustering, association rule mining, anomaly detection, and experience in implementing and evaluating models. - Preferred (Skills) - Prior experience in mentoring student teams for data science competitions or hackathons is preferred - Do you have any teaching/tutoring experience, If yes, please share details? Work Location: In person