You’ll be an excellent fit if you have:
- Proven technical expertise with 5+ years of experience in the relevant field
- A passion for mentoring and helping others succeed in their learning
- Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment
- A deep understanding of the tech industry and emerging trends in AI and related fields
- The flexibility to work part-time as an external contractor alongside your current commitments
Mandatory Technical Skills – School of Data
- Proficiency in Python and/or SQL
- Strong understanding of data analysis, statistics, and data modeling concepts
- Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
- Familiarity with ETL processes and data pipelines
- Understanding of databases (relational and/or NoSQL)
- Knowledge of data warehousing concepts and architecture
- Ability to work with large datasets and optimize data workflows
- Experience with data quality, validation, and governance practices
- Strong problem-solving and analytical skills
Preferred:
- Experience with big data tools (Spark, Hadoop)
- Familiarity with cloud platforms (AWS, GCP, Azure)
Exposure to real-world data projects (analytics, engineering, or architecture)
Responsibilities:
Your responsibilities as a technical mentor will be divided into three major tasks.
- 1:1 video calls
- Virtual TechnicalDeep-Dive Sessions
- Group Q&A sessions
Personal 1:1 Session:
- Provide personalized support by addressing learner questions related to course content and projects.
- Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.
Technical Deep-Dive Session:
- For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
- For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.
Group Q&A Session:
- Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.
Why should you apply?
- Make an impact by mentoring and contributing to a vibrant, global learning community
- Showcase your expertise and gain recognition for your technical knowledge
- Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
- Earn additional income with the flexibility to work on your own schedule
Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission.
If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture.
Let's work together to shape the future of tech education!