Data Engineer+ Subject Matter Expert- Data Mining

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing

learning, empowering students, and shaping the future of the tech industry. Backed by

renowned professionals and industry leaders, we aim to solve the employability challenge

and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert – 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.

Required Qualifications

• 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

• Competitive salary packages aligned with industry standards.
• Access to state-of-the-art labs and classroom facilities.
  
  

To know more about us, feel free to explore our website: Newton School of Technology

We look forward to the possibility of having you join our academic team and help shape the

future of tech education!