About the Role
As part of the GSS DAS team, you will help drive the execution of AI and advanced analytics initiatives that improve business operations and decision-making. You will work closely with cross-functional teams including Operations, Product, Data Science, and Engineering to support the development and rollout of AI-powered solutions.
This role is ideal for someone who is curious about AI, enjoys solving business problems using data, and can effectively coordinate across teams to drive execution.
- What the Candidate Will Do -
- Support execution of AI and analytics initiatives through effective coordination with cross-functional teams.
- Assist in gathering business requirements and supporting AI and analytics use cases.
- Build and maintain AI-powered tools, automations, and workflows to improve team productivity and operational processes.
- Work with datasets to identify trends, generate insights, and support business decision-making.
- Collaborate with technical and business teams during development, testing, and rollout of AI-enabled solutions.
- Track project updates, action items, and deliverables across ongoing initiatives.
- Build dashboards, reports, and analyses to monitor performance and project impact.
- Document processes, workflows, and best practices to support operational efficiency.
- Identify opportunities for process improvement and automation across day-to-day workflows.
- Basic Qualifications -
- Minimum 1+ years experience working in business intelligence, analytics, data engineering, or a similar role.
- Proficiency in writing and optimizing SQL queries for data extraction and feature engineering pipelines.
- Foundational experience using Python for data manipulation and preparation of datasets to support AI/ML models.
- Exposure to AI/ML models and familiarity with building or utilizing AI agents (e.g., no-code tools like Copilot).
- Strong influence and relationship management skills; comfortable interacting across all levels of stakeholders.
- Fluency in communicating analytical methods, results, and recommendations to peers and partner teams.
- Demonstrates strong ownership, attention to detail, and a proactive approach to managing assigned tasks.
- Ability to effectively collaborate with cross-functional and remote teams.
- Preferred Qualifications -
- BS / MS degree equivalent experience in Statistics, Economics, Engineering, or other quantitative fields.
- Programming background and expertise in solving a business problem using Python or similar programing languages
- Experience of successfully managing small to medium-scale projects
- Familiarity with the end-to-end AI/ML model lifecycle, including feature engineering, model evaluation metrics, and deployment pipelines.
