[Hiring] External Contractor - Mentor role for Data Product Manager track @Udacity

Role Description

Mentors are industry professionals who provide world-class technical support to our learners in their Nanodegree journey. All our mentors are handpicked through a rigorous selection process so that we can truly be #studentfirst.

• Meet virtually on a weekly basis with students for community support, live office hours, and other activities.

Qualifications

• Fluency in English, both written and spoken.
• At least 7 years of industry experience or a master’s degree in the relevant field.
• Graduate from a Udacity Nanodegree Program is an added plus.
• Experience teaching technical concepts and public speaking, organizing technical talks, or webinars.
• Positive character, trusted by the students, creating emotional ties in the group.
• Flexibility at their current job to take this challenge part-time as an external contractor.

Requirements

• Technical competence in:
  • Statistical Foundations
  • Data Wrangling
  • Visualization & Storytelling
  • Product KPIs
  • Data Pipeline
  • Data Modeling & Storage
  • Strong understanding of Experiment Design (A/B Testing, Multivariate) and statistical inference
  • Product management frameworks (e.g., RICE, Iterative Design)
  • Product Development
  • Rapid Prototyping
  • User-Centered Design
  • Product Strategy
  • Go-To-Market Strategy
  • Basic knowledge of SQL

Responsibilities

• Provide technical support for students over an online community forum.
• Answer questions around course content over the forum and facilitate content for students who get stuck in learning.
• Host one weekly live virtual session to offer direct, real-time support to students.
• Redirect learners to appropriate support channels and escalate issues to the Mentor Operations team when needed.

Benefits

• Earn additional income working from the comfort of your own home.
• Contribute to a vibrant, international student community.
• Stay updated with the latest in cutting-edge technologies.
• Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience.