Data Science Faculty

7 hours ago

Bengaluru, Karnataka, India FACE Prep Full time

In an era where education is rapidly evolving, FACE Prep stands out for its innovative approach and strong commitment to student success. With over 16 years of experience in the edtech industry, FACE Prep has been empowering learners at every stage. whether its college students preparing for competitive exams or professionals looking to upskill. As part of this mission, FACE Prep Campus was launched as a job-focused higher education program offering degree courses like B.Sc. (Computer Science), BCA, and BBA, integrated with practical training in high-demand fields such as Data Science, Full Stack Development, AI, and Digital Marketing. The program emphasizes hands-on learning through real-time projects and industry-based mentoring, while also providing internship opportunities and placement support through a network of 300+ hiring partners. FACE Prep continues to be a beacon in education technology, shaping futures with its unique and career-driven offerings.

DATA SCIENCE FACULTY

Job Location: Banglore

Key Responsibilities

  1. Training & Mentorship


• Deliver interactive sessions on core Data Science topics including:


• Python for Data Science


• Statistics & Probability


• Data Analysis & Visualization


• Machine Learning (Supervised & Unsupervised)


• SQL & Databases


• Basic Deep Learning concepts (optional)


• Conduct doubt-clearing, mentoring, and revision sessions.

  1. Project Guidance


• Guide students on real-world and capstone projects.


• Review project progress, code quality, and analytical approach.


• Help students understand business use-cases and problem-solving techniques.

  1. Student Evaluation & Feedback


• Evaluate assignments, assessments, and project submissions.


• Provide constructive feedback and performance improvement suggestions.


• Track student progress and engagement levels.

  1. Placement & Career Support


• Conduct mock interviews and technical assessments.


• Guide students on resumes, portfolios, and interview preparation.


• Support placement and hiring drive requirements

Qualification: Postgraduate qualification in any Computer Science–related field
.

Skills & Competencies


• Strong proficiency in Python


• Solid understanding of Statistics, Machine Learning, and Data Analysis


• Experience with Pandas, NumPy, Matplotlib, Seaborn


• Working knowledge of SQL

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