
11 - 50 employees
At Udacity Marketing, our team means everything to us. Therefore, we put considerable effort into providing a fun, competitive, yet inclusive, professional atmosphere in our business where optimal development and maximal results are visible. We want to create a workplace that is friendly, warm, and exciting so that our people feel like they are part of a team and consider it like they are part of one big family.We attract, employ, and develop ambitious and driven people who can meet our business objectives. We aim towards giving a long-term future for the business as a whole and the individuals involved in it.
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11 - 50 employees
At Udacity Marketing, our team means everything to us. Therefore, we put considerable effort into providing a fun, competitive, yet inclusive, professional atmosphere in our business where optimal development and maximal results are visible. We want to create a workplace that is friendly, warm, and exciting so that our people feel like they are part of a team and consider it like they are part of one big family.We attract, employ, and develop ambitious and driven people who can meet our business objectives. We aim towards giving a long-term future for the business as a whole and the individuals involved in it.
• 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. • 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. • Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.
• 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 • 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 • Experience with big data tools (Spark, Hadoop) (preferred) • Familiarity with cloud platforms (AWS, GCP, Azure) (preferred)
• 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
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