Company Description

FACE Prep Campus delivers next-generation upskilling programs across 25+ leading colleges and universities in South India, preparing students for the rapidly evolving world of work. Its programs emphasize practical, industry-relevant learning using current technologies and tools aligned with modern employer expectations. Learners gain hands-on experience and prepare for globally recognized certifications in high-demand technology domains. Through a network of 500+ global hiring-partner companies, FACE Prep Campus connects students to internship and placement opportunities, strengthening their transition into professional careers.

Role Description

The Subject Matter Expert – Data Science will design and deliver high-quality data science learning experiences for students in an academic setting. Responsibilities include developing curriculum and learning materials, preparing and conducting classroom sessions, labs, and workshops, and mentoring learners on projects, assignments, and certification preparation. The role will involve creating practical case studies, evaluating student performance, providing constructive feedback, and staying current with emerging tools and techniques in data science and related fields. The Subject Matter Expert will collaborate with academic coordinators and industry partners to align content with hiring needs and support placement readiness. This is a full-time, on-site role based in Coimbatore.

Qualifications
• Strong foundations in statistics, probability, linear algebra, and core data science concepts.
• Proficiency in programming languages commonly used in data science (such as Python or R) and experience with data manipulation libraries and frameworks.
• Hands-on experience with machine learning techniques, model building, and evaluation using industry-standard tools and workflows.
• Comfort working with databases, SQL, and data pipelines, including data cleaning, preprocessing, and visualization.
• Prior experience in teaching, training, or mentoring learners in technical subjects, preferably in data science or related areas.
• Ability to design structured learning content, lesson plans, and assessments tailored for college and university students.
• Excellent communication and presentation skills, with the ability to explain complex concepts in a clear, accessible manner.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline; relevant certifications are an added advantage.
• Exposure to real-world data science projects or industry experience that can be translated into practical classroom examples.
• Commitment to learner success, openness to feedback, and readiness to continuously update skills with evolving technologies.