Senior Data Scientist + Instructor

Experience
: years

Salary
: Confidential (based on experience)

Shift
: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type
: Office (Pune)

Placement Type
: Full time Permanent Position

**(*Note: This is a requirement for one of Uplers' client - Newton School)

**What do you need for this opportunity?

Must have skills required:
machine learning algortihms, clustering, K-Means

Newton School is Looking for:*
*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
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?

• Step 1: Click On Apply And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

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