On-Call Maintenance Specialist, Data Science – Contract Role

Job not on LinkedIn

🔥 58 minutes ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Udacity Marketing

WebsiteLinkedInAll Job Openings

11 - 50 employees

📣 Marketing

🤝 B2B

👥 B2C

Marketing • B2B • B2C

Udacity Marketing is a marketing services company that emphasizes the importance of its team. They strive to create a fun, competitive, and inclusive professional atmosphere aimed at fostering optimal development and delivering maximal results. The company is dedicated to attracting, employing, and developing ambitious individuals while providing a workplace that feels like a supportive family. Their focus is on achieving business objectives and creating a long-term future for both the organization and its employees.

📋 Description

• Analyze course performance metrics, including lesson ratings, pass rates, and qualitative feedback, to identify content requiring updates • Review student feedback at scale to prioritize actionable improvements • Update classroom instructions for current data tools, AWS and Azure cloud UI changes, and library behavior • Debug and update code in Jupyter notebooks, VS Code workspaces, and SQL exercises using Python, SQL, and occasionally R • Fix broken queries, incorrect visualizations, outdated screenshots, and mismatched expected outputs • Update text, screenshots, diagrams, examples, tutorials, exercises, and projects to reflect current best practices • Refresh content using modern data workflows, APIs, and libraries such as pandas, scikit-learn, PySpark, and BI tools • Improve project rubrics, starter code, and datasets for clarity and robustness • Update Udacity Workspaces using the in-house Studio tool • Install and validate updated Python and R packages in existing workspaces • Update exercises and project starter code for newer programming environments and SQL dialects • Test Cloud Labs used for data engineering and architecture content • Verify cloud services, data warehouses, storage accounts, streaming services, and compute resources are enabled and configured • Troubleshoot student access and permission issues in federated AWS and Azure accounts, including data access, IAM/RBAC, and resource usage • Collaborate with Content Developers, Program Managers, Learning Architects, and Udacity team members to define scope, set priorities, and gather content information

🎯 Requirements

• Strong understanding of data wrangling, exploratory data analysis, and basic statistics • Ability to write and optimize SQL queries • Ability to build and interpret data visualizations and dashboards • Hands-on experience with Python for data, including pandas, NumPy, scikit-learn, visualization libraries, and basic machine learning, and/or R for data analysis • Familiarity with at least one BI or visualization tool, such as Power BI or Tableau • Familiarity with foundational cloud data services on AWS or Azure, including storage, data warehouses, and basic compute • Familiarity with Docker and Jupyter notebook-based workflows • At least 2 years of professional experience in a data-related role • Experience with 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 • Ability to write high-quality instructional artifacts and technical documentation modeled on industry standards • Strong attention to detail with a student-first mindset • Experience with statistics or machine learning in production environments is a plus • Cloud or data-related certifications, such as AWS Data/Analytics or Azure Data Engineer, are a plus • Resume highlighting relevant data, analytics, or data engineering experience • Applicants for employment in the US must have work authorization that does not now or in the future require visa sponsorship

🏖️ Benefits

• Contractor pool opportunity with project details, scope, and timelines shared as new needs arise • Udacity team member provides tooling, guidance, and logistical support • Opportunity to contribute to world-class data education • Udacity is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities