Data Technical Mentor – Independent Contractor, US, Canada, Europe, MENA, India, APAC Timezones

This is a fully remote position, open to applicants in Europe.

📋 Description

• Deliver tailored support by responding to learner inquiries regarding course material and projects.

• Before mentoring calls, mentors are expected to review the students' prior project submissions—provided by the Mentor Success Team when available—and/or any specific areas of the Nanodegree content or project where the student has indicated confusion or challenges.

• For in-depth concept discussions, mentors should prepare a slide presentation that delves deeper into a Nanodegree concept, present various use-cases to enhance student understanding and perspectives, and conduct a Q&A session with learners.

• During project walkthroughs, a mentor will arrive with a slide presentation that details each component of the rubric to assist learners in grasping expectations and common challenges they may face. This may involve a mentor "grading" a sample submission to illustrate what they are looking for during project evaluations.

• Conduct regular sessions (via Slack or video) to address learner questions related to projects and coursework, with no prior preparation required.

⛳️ Requirements

• Demonstrated technical expertise with over 5 years of experience in the relevant field.

• A genuine passion for mentoring and aiding others in their educational journeys.

• Exceptional interpersonal skills; you thrive on building relationships, communicating effectively, and creating a positive learning atmosphere.

• In-depth knowledge of the tech industry and emerging trends in AI and related domains.

• The ability to work part-time as an external contractor while balancing your current responsibilities.

• Proficiency in Python and/or SQL.

• Strong grasp of data analysis, statistics, and data modeling principles.

• Experience with data manipulation and visualization tools (such as Pandas, NumPy, Excel, Tableau/Power BI).

• Understanding of ETL processes and data pipelines.

• Familiarity with databases (both relational and/or NoSQL).

• Knowledge of data warehousing concepts and architectures.

• Capability to work with large datasets and enhance data workflows.

• Experience with data quality, validation, and governance practices.

• Strong analytical and problem-solving abilities.

• Experience with big data tools (like Spark, Hadoop) is preferred.

• Familiarity with cloud platforms (such as AWS, GCP, Azure) is preferred.

🏝️ Benefits

• Make a meaningful impact by mentoring and contributing to a dynamic, global learning community.

• Showcase your expertise and receive recognition for your technical knowledge.

• Learn and network with our international community of mentors while staying informed about cutting-edge technologies.

• Earn additional income with the flexibility to set your own schedule.