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FACE Prep

Data Science Faculty

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Job Description

Company Description

FACE Prep, established in 2008, is one of India's largest placement-focused skill development companies specializing in job preparation for the tech sector. Over the years, we have guided millions of students in launching successful careers in some of the world's top tech companies, including Google, Microsoft, Meta, and Amazon. Our diverse set of programs includes Masterclasses, workshops, bootcamps, and self-paced preparation courses designed to equip students with essential skills for high-paying tech roles. FACE Prep is proud to be a bridge between aspiring professionals and their dream careers in the global tech industry.

Role Description

This is a full-time, on-site role for a Data Science Faculty at our Bengaluru office. The candidate will be responsible for training and mentoring aspiring data science professionals through well-structured courses, workshops, and bootcamps. Key responsibilities include designing and delivering data science content, conducting live sessions, providing one-on-one mentoring, evaluating student progress, addressing queries, and staying updated with data science trends and tools to ensure high-quality instruction.

Qualifications
  • Strong expertise in Data Science concepts such as Machine Learning, Data Analysis, Statistics, Probability, and Data Visualization
  • Proficiency in programming languages like Python and R, and experience with tools like SQL, Tableau, and Jupyter Notebooks
  • Experience in teaching, curriculum design, or mentoring students, with excellent communication and presentation skills
  • Understanding of industry use cases in data science and ability to design real-world problem-solving exercises
  • Passion for teaching and an ability to explain complex topics in a clear and engaging manner
  • A degree in Data Science, Computer Science, Statistics, or a related field; advanced degree preferred
  • Prior professional experience in the tech or data science industry is an added advantage

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About Company

Job ID: 136397863

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