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

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.

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.

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 We take a data-driven approach to evaluating content quality and identifying outdated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.

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:​

• 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.​

• 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 existing course materials. This includes:

• Updating

classroom instructions to reflect the latest data tools, cloud UI changes (AWS, Azure), and library behavior.

• Debugging

and updating code in Jupyter notebooks, VS Code workspaces, and SQL exercises (e.g., Python, SQL, and occasionally R).

• Enhancements: Update course content to align with the latest tools and technologies across the data stack. This may

include:

• Updating text, screenshots, diagrams, and examples to reflect current best practices.
• Refreshing

tutorials, exercises, and projects to use modern data workflows, APIs, or libraries (e.g., newer versions of pandas, scikit-learn,

PySpark, or BI tools).

• Improving project rubrics, starter code, and data sets for clarity and robustness.

• Workspace and environment updates
• Update Udacity Workspaces using self-service Studio (in-house tool).

• Install and validate updated Python and R packages in existing workspaces.
• Update exercises and project starter code

to support newer programming environments (e.g., upgrading older Python versions, or updating SQL dialect usage to match the

current engine).

• Cloud Lab validation and troubleshooting
• Test the Cloud Labs used for data

engineering and architecture content.

• Verify that the necessary cloud services (e.g., data warehouses, storage accounts,

streaming services, compute) required for all exercises in a course are enabled and properly configured in the cloud labs.

• Troubleshoot student access issues and permission-related problems in federated cloud accounts (AWS and Azure), particularly

around data access, IAM/RBAC, and resource usage.

Required Skill Set​

A qualified candidate will

have:

• Strong understanding of core data skills, including:
• 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.

• Familiarity with foundational cloud data

services on AWS or Azure​ (e.g., S3/ADLS, data warehouses, basic compute, and storage patterns).

• Familiarity with containerization technologies (Docker) and notebook-based workflows (Jupyter).
• At least 2

years of professional experience​ in a data-related role (e.g., Data Analyst, Data Scientist, Data Engineer, BI

Developer).

• Experience working with version control systems (Git/GitHub).
• Ability to debug and update

Python-based and SQL-based exercises and projects.

• Strong troubleshooting skills to resolve student-reported issues

efficiently (e.g., environment mismatches, package conflicts, SQL errors, visualization failures).

• Excellent written

communication skills for documenting changes and providing clear, 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 (e.g., AWS Data/Analytics, Azure Data Engineer) are a

plus.

If you're interested in joining our contractor pool and contributing to world-class

data education, please submit your application with:

• Your resume highlighting relevant data, analytics, or data

engineering experience

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.

We believe that no one

should be discriminated against because of their differences. 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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and

our communities.

Accenture

Equal Opportunity Statement

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.

Important Notes​

• 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.

• 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. Further, at Accenture, a criminal conviction history is not an absolute bar to

employment.

Obsess over Outcomes - Take the Lead - Embrace Curiosity -

Celebrate the Assist

Udacity's Terms of Use and Privacy

Policy

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.

We believe that no one should be

discriminated against because of their differences. 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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and

our communities.

Accenture

Equal Opportunity Statement

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.

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. 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. Further, 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