Lab Associates - Data Science & Analytics

Position Title

Department

Reports To

Position Overview:

Lab Associate – Data Science & Analytics

Key Responsibilities:

• Assist in lab sessions, practical exercises, and projects across courses including:
• PGM, Advanced Statistics, Exploratory Data Analysis (EDA), Predictive Analytics
• Web Frameworks
• Big Data Frameworks (BDF)
• Cloud Computing
• Tableau / PowerBI
• Data Structures, Essentials of Artificial Intelligence (AI)
• Programming Languages – Python, C, C++, Java, JavaScript, React
• DBMS – SQL
• IOT
• Support faculty and students in designing, developing, and maintaining data pipelines, predictive models, and computational tools.
• Develop and maintain web-based applications and dashboards using web frameworks.
• Perform data analysis, visualization, and interpretation to support research and teaching.
• Maintain lab equipment, software tools, and computational resources.
• Document lab procedures, analyses, and project outcomes.
• Collaborate with faculty, researchers, and students on technical problem-solving and academic projects.
• Stay updated with emerging trends in data science, AI, big data, cloud computing, and analytics.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Statistics, or a related field.
• Strong programming skills in Python, R, Java, or similar languages.
• Proficiency in web frameworks, data visualization tools, and EDA techniques.
• Understanding of predictive analytics, AI fundamentals, and cloud computing technologies.
• Knowledge of data structures, big data frameworks, and storytelling with data.

Experience:

• 0–3 years of relevant experience in university labs, research, or technical projects is desirable.

Core Competencies:

• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively in an academic environment.
• Attention to detail and commitment to high-quality lab work.
• Effective written and verbal communication for documentation and reporting.

srikanth.bs@vidyashilp.com

Regards,

Vidyashilp University

HR Team