Search by job, company or skills

FACE Prep

Data Science Faculty (Mentor)

This job is no longer accepting applications

new job description bg glownew job description bg glownew job description bg svg
  • Posted 2 months ago

Job Description

Company Description

FACE Prep is a prominent placement-focused skill development company dedicated to job preparation in the tech sector. Established in 2008, FACE Prep has helped millions of students launch their careers through diverse programs such as masterclasses, bootcamps, workshops, and self-paced learning. These tailored programs equip students with essential skills for securing high-paying roles in leading tech firms. FACE Prep's alumni are employed in top global companies including Google, Microsoft, Meta, Adobe, Amazon, and more, showcasing the impact and reach of its programs.

Role Description

This is a full-time, on-site role in Bengaluru for a Data Science Faculty (Mentor). The mentor will be responsible for conducting engaging and effective teaching sessions on data science topics, creating and delivering structured course content, designing assignments and projects to enhance practical knowledge, and guiding students through challenging concepts. The role also involves assessing student progress, providing constructive feedback, and mentoring individuals to achieve their career aspirations in the data science field.

Qualifications
  • Proficiency in Data Science concepts, including Machine Learning, Statistical Analysis, and Predictive Modeling.
  • Strong programming skills in Python, R, and related frameworks for data analysis and visualization.
  • Experience with SQL, data manipulation tools, and working with large datasets.
  • Familiarity with tools like TensorFlow, PyTorch, and Scikit-learn is a plus.
  • Effective communication and mentoring skills to guide students of varying skill levels.
  • Ability to design and deliver interactive course materials and assessments.
  • Experience in the tech or education field is advantageous.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related discipline.

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 136868335