See all roles

Part-Time Data Science Mentor (US)

Work from home Full-time role Hiring

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 Apply Job!

You might like

Amazon Locker+ Customer Service Associate

Work from home Full-time role

American Express virtual Assistant jobs

Work from home Full-time role

Netflix Hiring Binge Watchers $25Hr

Work from home Full-time role

Account Manager, SynBio - SouthWest

Work from home Full-time role

Part-time Machine Learning Mentor (US)

Work from home Full-time role

Contingent Worker - Off Campus

Work from home Full-time role

Routing & Channel Optimization Coordinator

Work from home Full-time role

Senior Android Engineer, Search Feed

Work from home Full-time role

IRS Revenue Officer (Entry Level)

Work from home Full-time role

Student Records Coordinator - Online

Work from home Full-time role

Legal Transcriptionist (Federal Contracts - DOJ, EOIR, FTC, DHS - Remote)

Work from home Full-time role

WFM Analyst

Work from home Full-time role

Counsel, Legal Affairs - Television Animation

Work from home Full-time role

Experienced Full Stack Software Engineer – Web & Cloud Application Development at arenaflex

Work from home Full-time role

Scheduler (40 hours)

Work from home Full-time role

[FULL TIME Remote] Continuous Improvement/Process Improvement

Work from home Full-time role

Experienced Customer Service Representative – Remote Work-at-Home Opportunity

Work from home Full-time role

Remote Data Entry Specialist – Work From Home Healthcare Data Management Position | arenaflex

Work from home Full-time role

Require Assistant Professor - Applied Data Science in San Jose, CA

Work from home Full-time role

Salesforce Data Cloud Consultant

Work from home Full-time role