Data Science Mentor

Who are we, you ask?

Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren't adequately prepared. That's where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as "the everything store" for career transitions and interview skill development.

How do we do that, you ask?

We have a structured approach to interview success, which includes:

• Career Accelerator Course
• Comprehensive end-to-end courses and platform
• A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
• A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals

What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.

Responsibilities:

• Deliver live sessions on various topics that are relevant for Data Science interviews
• Constantly improve the session flow and delivery by working with other instructors and subject matter experts
• Simplify complex topics and explain them in an engaging manner
• Have regular discussions with IK's curriculum team in evolving the Data Science curriculum
• Help in onboarding and training other instructors and coaches
• Understand the challenges faced by students and willingness to help them out

Requirements

• Minimum 4 years of experience in tier-1 Tech companies as a Data Science Engineer/ Data Scientist/ ML Engineer/ Decision Scientist
• Proficient in SQL and at least one of these programming languages: Python (preferred), R, C/C++
• Experience in delivering end-to-end solutions related to Data Science Projects
• Participation in interview panels and hiring committees
• Should be willing to work on weekends/evenings and be available as per the US time zone