On-Call Maintenance Specialist, Data Science - Contract Role

Xapply; India; On-site; INR 800,000 - 1,500,000; Part time

Job summary

Xapply is seeking an On-Call Maintenance Specialist for a Data Science contract role based in India. You will contribute to a flexible contractor pool supporting ongoing quality and relevance of data science education.

You’ll help maintain courses covering analytics, data science, machine learning, data engineering, cloud data platforms, and related technologies, while troubleshooting and validating environments to keep learning experiences accurate and industry-aligned.

Qualifications

• Experience maintaining data science content and courses.
• Familiarity with analytics, ML, data engineering topics.
• Ability to troubleshoot and ensure instructional quality.

Responsibilities

• Maintain courses on analytics, data science, ML, data engineering, cloud data platforms, and related technologies.
• Validate environments and instructional quality for learning experiences.
• Collaborate with content, program, and learning teams to set priorities and maintenance requirements.

Skills

Python

SQL

Data science

Cloud platforms

Tools

Jupyter

Git

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a On-Call Maintenance Specialist, Data Science - Contract Role based in India.

This is an opportunity to join a flexible contractor pool supporting the ongoing quality and relevance of data science education.
You’ll help maintain and enhance courses covering analytics, data science, machine learning, data engineering, cloud data platforms, and related technologies.
The role combines technical troubleshooting, content improvement, environment validation, and instructional quality.
You’ll use your expertise in Python, SQL, data tools, cloud platforms, and modern data workflows to keep learning experiences accurate and industry-aligned.
You’ll work as an individual contributor while collaborating with content, program, and learning teams when defining priorities and maintenance requirements.
Projects are assigned as needs arise, with clear scopes, timelines, guidance, and tooling provided for each engagement.
Your work will directly improve the experience of learners working with real-world data technologies and technical environments.