Senior Data Scientist

Data Scientist & Senior Instructor

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers Clients)

Must have skills required :

Machine Learning Algorithms OR clustering

Newton School (One of Uplers Clients) is Looking for:

Data Scientist & Senior Instructor who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview 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 Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.

? Demonstrable 4-10 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.

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!

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Newton School of Technology

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!