Data Scientist
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Description
- Perform requirement gathering and validation with different user teams and obtain business endorsement.
- Lead small or large intelligent automation projects focused on assessing automation opportunities and delivering automation implementation.
- Assess automation opportunities from a functional and technical perspective and collaborate with cross-functional teams and external partners to deliver enterprise-grade solutions that are efficient and scalable, and maintainable.
- Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short-term tactical solutions.
- Be the data analytics focal point and manage internal stakeholders, and external vendors and partners on strategic data related projects.
- Manage stakeholder expectations and ensure that effective communication and escalation mechanisms are in place for the project implementation.
- Advance data infrastructure, technologies and tools, and partner with technological vendors to develop and ensure the readiness of our tech stack and enablers, such as Gen AI, to keep up with ever-evolving demands. Orchestrate use cases and drive adoption.
- Process and rationalize structured data and semi/unstructured data and ability to integrate multiple data sources and databases into “single system” design data platform to fulfill the business and technical requirements.
- Identify the gaps between business requirement and data architecture and propose solutions to resolve or shorten the gap.
- Stay updated with the latest trends and advancements in data and automation/AI technologies.