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Description:
• 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
• We are looking for Data Scientists/Applied Scientists, SWEs (ML domain), with a strong passion for teaching to join us as part-time instructors to teach Data Science.
• This role will provide opportunities to network with other experts, understand learner issues and contribute to the AI/ML community at large.
• 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
Benefits: