Technical Support Specialist – Data Science Platforms

1 day ago


Islamabad, Islamabad, Pakistan beBeeData Full time 6,000,000 - 9,000,000
Job Opportunity:

This is a proactive and technically competent role requiring first-line support for complex data science platforms serving clients across the US and EU markets.


About the Role:
  • Act as the primary point of contact for customers seeking technical assistance via phone, email, or chat.
  • Deliver first-line support for complex data science applications covering API integrations, model outputs, workflow issues, and system configurations.
  • Organize and lead diagnostic sessions to gather logs, environment details, and reproducible error conditions.
  • Use internal knowledge base (KBDB) to provide resolutions for known issues and support recurrence management.
  • Create, manage, and update support tickets with detailed documentation of symptoms, diagnostics performed, and resolution steps.
  • Maintain SLA compliance and perform structured escalation of unresolved, critical, or complex cases to L2 and L3 engineering teams.
  • Coordinate across shifts and global teams to ensure continuity of support and closure of issues across time zones.
  • Troubleshoot SQL-based issues, configurations, and data inconsistencies.
  • Support onboarding and implementation activities including product configuration, API certification, and environment validation.
  • Document new or updated troubleshooting procedures and contribute to continuous improvement of support documentation.
Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical field.
  • 1–3 years of experience in L1 technical support or application support preferably for SaaS, AI/ML, or data-heavy platforms.
  • Strong SQL knowledge for database queries and data validation.
  • Understanding of REST APIs, JSON payloads, and web service interaction patterns.
  • Experience using ticketing and project management tools e.g. JIRA, OTRS, Zendesk.
  • Familiarity with log analysis, basic command-line tools, and remote troubleshooting procedures.
  • Excellent verbal and written communication skills with strong follow-up and customer handling experience across geographies.
  • Strong problem-solving skills with a customer-first mindset.
  • Ability to work in a 24/7 rotational shift environment.
  • Exposure to cloud environments AWS, GCP, Azure and scripting e.g. Python, Bash is a plus.
  • Preferred understanding of ML model outputs pipeline errors or data processing workflows.
  • Familiarity with tools like Jupyter Airflow Datadog or other monitoring/logging platforms.
  • Ability to contribute to knowledge base development and continual improvement of support playbooks.


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