Udacity
More roles at UdacityOn-Call Maintenance Specialist, Data Science - Contract Role (India)
Remote role where the employee must remain based in a particular country.
India only
From the listing details: Job title names a location: "On-Call Maintenance Specialist, Data Science - Contract Role (India)"
Employer listed it 3 weeks ago · Added 3 weeks ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
India only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
Udacity Cloud Labs We also provide temporary access to various cloud services via Cloud Labs.
- Experience asked for
At least 2 years of professional experience in a data-related role (e.g., Data Analyst, Data Scientist, Data Engineer, BI Developer).
- Pay
Compensation
Remote flexibility
Work from home
This is a remote role, but the job title points at India, so expect to be based there.
What the employer says
- Source listing states candidate location: "Remote"
- Job title names a location: "On-Call Maintenance Specialist, Data Science - Contract Role (India)"
What Nomaders makes of it
- Confirm with the employer before assuming you can work from another country
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “Familiarity with at least one BI or visualization tool , such as Power BI or Tableau.”
- “At least 2 years of professional experience in a data-related role (e.g., Data Analyst, Data Scientist, Data Engineer, BI Developer).”
Written as a nice-to-have
- “Experience with statistics or machine learning in production environments is a plus.”
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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:
Requirements
- ·Data wrangling, exploratory data analysis, and basic statistics.
- ·Writing and optimizing SQL queries.
- ·Building and interpreting data visualizations and dashboards.
- ·Hands-on experience with Python for data (pandas, NumPy, scikit-learn, visualization libraries, basic ML) and/or R for data analysis .
- ·Familiarity with at least one BI or visualization tool , such as Power BI or Tableau.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Udacity, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 21d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.