On-Call Maintenance Specialist, Data Science – Contract Role

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

📋 Description

• Evaluate course performance metrics, such as lesson ratings, pass rates, and qualitative feedback, to determine content that needs updates.

• Analyze student feedback on a large scale to prioritize actionable enhancements.

• Revise classroom instructions to align with current data tools, AWS and Azure cloud UI modifications, and library behavior.

• Troubleshoot and update code within Jupyter notebooks, VS Code workspaces, and SQL exercises using Python, SQL, and occasionally R.

• Correct broken queries, inaccurate visualizations, outdated screenshots, and mismatched expected outputs.

• Revise text, screenshots, diagrams, examples, tutorials, exercises, and projects to reflect contemporary best practices.

• Refresh content utilizing modern data workflows, APIs, and libraries such as pandas, scikit-learn, PySpark, and BI tools.

• Enhance project rubrics, starter code, and datasets for clarity and robustness.

• Update Udacity Workspaces using the in-house Studio tool.

• Install and verify updated Python and R packages in existing workspaces.

• Revise exercises and project starter code for newer programming environments and SQL dialects.

• Test Cloud Labs utilized for data engineering and architecture content.

• Confirm that cloud services, data warehouses, storage accounts, streaming services, and compute resources are enabled and configured.

• Address student access and permission issues in federated AWS and Azure accounts, including data access, IAM/RBAC, and resource utilization.

• Collaborate with Content Developers, Program Managers, Learning Architects, and Udacity team members to define project scope, establish priorities, and gather content information.

⛳️ Requirements

• Strong grasp of data wrangling, exploratory data analysis, and fundamental statistics.

• Proficient in writing and optimizing SQL queries.

• Capable of building and interpreting data visualizations and dashboards.

• Practical experience with Python for data, including pandas, NumPy, scikit-learn, visualization libraries, and basic machine learning, and/or R for data analysis.

• Familiar with at least one BI or visualization tool, such as Power BI or Tableau.

• Knowledge of foundational cloud data services on AWS or Azure, including storage, data warehouses, and basic compute.

• Familiarity with Docker and Jupyter notebook-based workflows.

• Minimum of 2 years of professional experience in a data-related position.

• Proficient in using Git/GitHub.

• Ability to debug and update Python-based and SQL-based exercises and projects.

• Strong troubleshooting skills for environment mismatches, package conflicts, SQL errors, and visualization failures.

• Excellent written communication skills for documenting changes and providing step-by-step instructions.

• Competence in creating high-quality instructional materials and technical documentation modeled on industry standards.

• Strong attention to detail with a student-first approach.

• Experience with statistics or machine learning in production settings is advantageous.

• Cloud or data-related certifications, such as AWS Data/Analytics or Azure Data Engineer, are beneficial.

• Resume showcasing relevant data, analytics, or data engineering experience.

• Applicants for employment in the US must possess work authorization that does not currently or in the future require visa sponsorship.

🏝️ Benefits

• Opportunity to join a contractor pool with project details, scope, and timelines provided as new needs arise.

• Udacity team members will offer tooling, guidance, and logistical support.

• Chance to contribute to world-class data education.

• Udacity is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.