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

Udacity

IndiaremotePosted 16 days ago

Skill Required

Data-AnalystData-ScientistData-EngineerCourse-DeveloperTechnical-WriterIT-Maintenance-SpecialistData-Science-ContractorData-ScienceOperationsBusiness AnalysisMachine Learningdata engineeringEngineeringStatisticsDatabricksKubernetesPower BIanalyticsTableauRedshiftbuildingJupyterAirflowetc.)PythonDockerdesignSparkKafkaAzureCloudSQLAWSandContract

Key highlights

Experience: 2+ years of professional experience in a data-related role
Work Authorization: US work authorization without visa sponsorship required
Employment Type: Contractor / Contractor pool
Company: Udacity, an Accenture company
Salary: Compensation varies based on location, role, skill set, and experience

Role overview

Udacity, an Accenture company, is building a contractor pool of data professionals to support its School of Data Science, which offers courses and Nanodegrees across the end-to-end data lifecycle. Contractors work closely with Udacity team members to analyze, maintain, update, and patch existing data courses, exercises, workspaces, and cloud labs. This role ensures that Udacity's data, analytics, and AI catalog remains technically accurate, pedagogically sound, and aligned with modern industry standards and libraries.

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 classroom instructions to reflect the latest data tools, cloud UI changes (AWS, Azure), and library behavior.
Debug and update code in Jupyter notebooks, VS Code workspaces, and SQL exercises (e.g., Python, SQL, and occasionally R).
Fix broken queries, incorrect visualizations, outdated screenshots, and mismatched expected outputs.
Enhancements: Update text, screenshots, diagrams, and examples to reflect current best practices.
Refresh tutorials, exercises, and projects to use modern data workflows, APIs, or libraries (e.g., newer versions of pandas, scikit-learn, PySpark, or BI tools).
Improve project rubrics, starter code, and data sets for clarity and robustness.
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).
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.

Requirements

At least 2 years of professional experience in a data-related role (e.g., Data Analyst, Data Scientist, Data Engineer, BI Developer).
Strong understanding of core data skills, including data wrangling, exploratory data analysis, and basic statistics.
Strong understanding of writing and optimizing SQL queries.
Strong understanding of 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).
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.
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.

Nice to have

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.

Additional details

About Udacity: Udacity is now an Accenture company, on a mission of forging futures in tech through radical talent transformation in digital technologies. It offers a unique and immersive online learning platform powering corporate technical training.
Disruptive Impact: Udacity is named as one of CNBC's Top 50 Disruptors, disrupting the way people learn and obtain skills for the jobs they want.
School of Data Science Curriculum: Offers courses across the data lifecycle, covering Data Literacy, Data Analytics/BI (SQL, Spreadsheets, Power BI, Tableau), Data Visualization & Storytelling, Statistics & Experimental Design, Data Science & Machine Learning (Python, R), Data Engineering (Airflow, Kafka, Spark), Data Architecture, and Cloud Data Solutions (AWS, Azure).
Udacity Workspaces: Practitioner environments delivered through Docker containers running in Kubernetes, featuring Jupyter Notebooks, SQL Workspaces, and VS Code Workspaces.
Udacity Cloud Labs: Temporary sandbox AWS and Azure consoles with pre-configured RBAC and pre-created data resources via Infrastructure as Code.
Collaboration: Contractors work closely with Udacity team members (such as Content Developers, Program Managers, and Learning Architects) who provide tooling, guidance, and logistical support.
Hiring requirements: To apply, candidates must submit a resume highlighting relevant experience in data, analytics, or data engineering.
Accenture Client Restriction: Candidates currently employed by a client of Accenture or an affiliated Accenture business may not be eligible.
Accenture Criminal History Policy: A criminal conviction history is not an absolute bar to employment, and candidates are not obligated to disclose sealed or expunged records of conviction or arrest during the hiring process.
Udacity's Core Values: Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist.
Compensation: Compensation at Udacity varies based on factors such as location, role, skill set, and level of experience.
Equal Opportunity Statement: Udacity is an Equal Opportunity and Affirmative Action Employer, making all decisions without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability, veteran status, sexual orientation, gender identity, marital status, or citizenship status.