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Home / Jobs / Udacity

Data Technical Mentor - Independent Contractor (US Canada, Europe, MENA, India &

Udacity

IndiaremotePosted 27 days ago
Udacity logo

Skill Required

Technical-MentorData-Science-MentorMentorData-EducationOnline-Learning-SupportData-Analytics-MentorData-Engineering-ConsultantTechnical LeadMachine LearningData WarehousingEngineeringStatisticsanalyticalPower BIanalyticsbuildingTableauAzurePythonPandasHadoopNumPySparkCloudETLSQLAWSGCPandAIFulltime

Key highlights

  • Level Required: 5+ years of experience in the relevant field
  • A key benefit: Earn additional income with the flexibility to work on your own schedule
  • A notable requirement: Proficiency in Python and/or SQL
  • A notable requirement: Must have US work authorization without requiring future visa sponsorship (for US applicants)

Role overview

Udacity is now an Accenture company on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our School of Data is committed to providing high-quality upskilling opportunities in this rapidly evolving field, regularly launching new projects and seeking experienced mentors to join us as external contractors to support our programs and learners.

Responsibilities

  • Your responsibilities as a technical mentor will be divided into three major tasks: 1:1 video calls, Virtual Technical Deep-Dive Sessions, and 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.

Requirements

  • 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
  • Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Nice to have

  • Experience with big data tools (Spark, Hadoop)
  • Familiarity with cloud platforms (AWS, GCP, Azure)
  • Exposure to real-world data projects (analytics, engineering, or architecture)

Benefits

  • 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

Additional details

  • As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation.
  • Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.
  • All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
  • Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.
  • Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
  • Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
  • At Accenture a criminal conviction history is not an absolute bar to employment.
  • Udacity's Values: Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist
  • Udacity's Terms of Use and Privacy Policy
  • Originally posted on Himalayas

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Posted8/11/2026
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