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    Job · 18096055

    FACE Prep logo

    Data Science Mentor

    FACE Prep · Chennai · onsite · Posted 35d ago

    Not disclosedFresherfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Company Description FACE Prep is one of India's largest placement-focused skill development companies for job preparation, specializing in launching careers in the tech sector since 2008. The organization offers a variety of programs, including masterclasses, self-paced preparation, and intensive workshops or bootcamps designed to help learners acquire in-demand skills for top-paying tech roles. FACE Prep has supported millions of students in securing opportunities with leading technology employers. Alumni work in global companies such as Google, Microsoft, Meta, Adobe, PayPal, Amazon, TCS, Infosys, Wipro, Thoughtworks, Cognizant, and Accenture. The team is committed to helping learners build strong foundations in technology and professional readiness.
    Role Description The Data Science Mentor will guide learners through core and advanced data science concepts, including statistics, machine learning, and practical applications in industry projects. Day-to-day responsibilities include delivering classroom sessions, explaining complex topics in a simple and structured manner, reviewing assignments and projects, and providing individualized feedback to help learners improve. The mentor will also design or refine curriculum materials, create problem statements and case studies, and support learners in interview and placement preparation. Collaboration with other mentors and program managers to continuously improve teaching methods and learning outcomes is expected. This is a full-time, on-site role based in Chennai.
    Qualifications
    • Strong foundation in data science concepts, including statistics, machine learning, data preprocessing, and model evaluation.
    • Hands-on experience with common data science tools and languages such as Python, data analysis libraries (e.g., pandas, NumPy), and visualization tools (e.g., Matplotlib, Seaborn, or similar).
    • Experience working with real-world datasets, building end-to-end projects, and communicating insights to technical and non-technical audiences.
    • Ability to mentor and teach, including lesson planning, explaining complex ideas clearly, and giving constructive feedback to learners.
    • Strong communication and interpersonal skills, with the ability to engage diverse learner groups and foster an inclusive learning environment.
    • Prior experience in teaching, training, or mentoring in data science or related fields is highly desirable.
    • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related discipline, or equivalent practical experience.
    • Willingness to work on-site in Chennai and collaborate with cross-functional teams focused on learner success and placements.

    Sourced from foundit

    Skills

    model evaluationdata preprocessingseabornmatplotlibstatisticsPythonPandasNumpyData ScienceMachine Learning

    About FACE Prep

    FACE Prep logo

    FACE Prep

    750

    employees

    2009

    17 years old

    Bangalore / Bengaluru, Karnataka

    India

    ₹4.2L PA avg

    Avg at FACE Prep

    About

    FACE Prep is one of India's largest placement focused skill development company for job preparation. Since inception in 2008, FACE Prep has been responsible for million students kickstarting their careers in the tech sector. We have many programmes – ranging from Masterclasses, self-paced last mile prep as well as workshops/ bootcamps to help students pick up skills required to land top-paying jobs in the tech sector.

    Our alumni work across the globe in top tech companies ranging from Google, Microsoft, Meta, Adobe, Paypal, Amazon, TCS, Infosys, Wipro, Thoughtworks, Cognizant, Accenture…the list goes on!

    Industries

    EdTechInformation Technology

    Employee ratings

    10 reviews

    3.6/ 5

    Culture

    3.1

    Career growth

    2.8

    Work-life

    2.9

    Employees rate it well for

    Overall Company36Compensation & Benefits35

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