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Data Scientist & Instructor

Data Scientist & Instructor

ConfidentialPune
5 days ago
Job description

We are currently looking for a Senior Data Scientist+Instructor 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', Big Data , 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 Detection.
  • 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 4-12 years of 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.
  • Skills Required

    Python, Tensorflow, Pytorch

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