On-Call Maintenance Specialist, Data Science - Contract Role (India)

About Us Udacity is now an Accenture company, and exciting things are happening! 🚀 We are 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 rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. About Udacity Udacity is now an Accenture company, and exciting things are happening! 🚀 We are 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 rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during its digital transformation journey. Udacity is one of the most exciting companies in Silicon Valley, and is disrupting the way we learn! Named as one of CNBC's Top 50 Disruptors, Udacity is becoming the preferred route for people to obtain the skills they need to get the jobs they want. About the Job Udacity is a pioneer in online technical education, offering high-quality courses across a wide range of disciplines. Our catalog includes short and long programs, Nanodegrees (bundled courses), and content tailored to multiple skill levels, foundational, beginner, intermediate, and advanced, as well as business leadership audiences. To ensure our content remains current, impactful, and industry-aligned, we continuously review and update our courses. We take a data-driven approach to evaluating content quality and identifying outdated material. Key performance metrics, such as student satisfaction, lesson ratings, and page-level feedback, help us determine whether a course requires maintenance. Throughout the year, various courses are kept under active maintenance to ensure they receive timely updates. To do this effectively, we regularly collaborate with expert contractors who help update the course content. As new needs arise, we contact qualified candidates within our contractor pool to share project details, scope, and timelines. Contractors work closely with a Udacity team member who provides tooling, guidance, and logistical support. In most cases, contractors operate as individual contributors, though they may collaborate with other teams, such as Content Developers, Program Managers, and Learning Architects, to define scope, set priorities, and gather necessary information about the content under maintenance. If you thrive on challenges, want to make an impact, and are interested in joining our contractor community, we encourage you to read on and apply. About the School of Data Science We’re building a contractor pool of data professionals to support our School of Data Science. The School of Data Science currently offers courses and Nanodegrees across the end-to-end data lifecycle, including (but not limited to): • Data Literacy and Data Fluency • Data Analytics and Business Analytics (SQL, Spreadsheets, Power BI, Tableau) • Data Visualization and Data Storytelling • Statistics, Probability, and Experimental Design • Data Science and Machine Learning Fundamentals (Python, R, ML pipelines) • Data Engineering and Streaming (Airflow, Kafka, Spark, Data Lakes/Lakehouses, Data Warehouses) • Data Architecture, Data Governance, and Data Privacy • Cloud Data Solutions on AWS and Azure (e.g., Redshift, Synapse, Databricks, S3/ADLS, etc.) Our contractor pool helps ensure this catalog stays technically accurate, pedagogically sound, and aligned with industry practices in data, analytics, and AI. Understanding Our Learning Infrastructure To effectively maintain and update our data courses, you'll need to understand how students interact with our content. Our courses use two key technologies: Udacity Workspaces For practitioner content, we provide in-classroom workspaces so students don’t need to install or purchase any tools or set up environments locally. These workspaces are Docker containers running in Kubernetes, and students access them directly in the classroom page through their browser. For the School of Data Science, common workspace types include: • Jupyter Notebooks : for Python- and R-based data analysis, statistics, and machine learning • SQL Workspaces : browser-based SQL UIs against managed databases • VS Code Workspaces : for more complex data engineering, data science, and software-for-data workflows These workspaces need continuous updates and patching, and the exercises/project starter code must be updated to remain compatible with the updated workspace (e.g., Python libraries and data engineering toolchains). Udacity Cloud Labs We also provide temporary access to various cloud services via Cloud Labs. For the School of Data Science, these are primarily AWS and Azure labs that power data engineering, data architecture, and streaming exercises and projects. Cloud Labs are federated accounts that allow students to use the AWS or Azure consoles using temporary credentials. These cloud labs are pre-configured with RBAC and policies. In some cases, we pre-create several data resources, such as data warehouses, data lakes, Kafka clusters, or compute environments, via Infrastructure as Code to provision the resources required for an exercise or project. Responsibilities • Analyze course performance metrics (lesson ratings, pass rates, and qualitative feedback) to identify content requiring updates. • Review student feedback at scale to prioritize actionable improvements • Bug-fixes: Address student-reported issues by updating or enhancing