
Technical Support Specialist – Data Science Platforms
1 day ago
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.
- 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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