Analytics Scientist
About The Position
Working alongside a diverse team of Scientists, Data Engineers, and IT professionals, you will explore emerging tools, develop Proof of Concepts (POCs), and lead technical knowledge-sharing initiatives. Cross-Functional Orchestration: Lead the coordination of infrastructure activities across GDIA, IT, and Business teams to ensure a seamless analytics ecosystem. AI Innovation: Design, prototype, and productionize sophisticated AI agents (conversational and task-oriented) to automate business processes and enhance agent workflows. Lifecycle Management: Own the end-to-end lifecycle of Credit Analytics software, from infrastructure design and feature engineering to deployment, monitoring, and automated retraining. Process Modernization: Identify opportunities to leverage AI/ML techniques to streamline legacy operations and improve decision-making accuracy. Established and active employee resource groups
Requirements
- Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
- Expertise in the end-to-end development of Enterprise Chatbots, AI Agents - including design, prototyping, and productionizing conversational and task-execution workflows - with a proven ability to integrate these agents into complex backend systems to safely automate business processes while owning the full lifecycle from data lineage and feature engineering to deployment, monitoring, and automated retraining.
- 5+ years of experience in infrastructure or DevOps roles managing complex hardware, software, and data environments (Linux, Windows, GCP).
- 5+ years of experience managing and querying large-scale data environments (Big Query, PostgreSQL, SQL Server, Teradata, etc.).
- Strong programming skills in Python, SQL, or SAS.
- A proactive mindset with the ability to solve high-complexity technical challenges with precision.
Nice To Haves
- Familiarity with Kubernetes, Docker, and Containerization is a plus.
Responsibilities
- Explore emerging tools
- Develop Proof of Concepts (POCs)
- Lead technical knowledge-sharing initiatives
- Lead the coordination of infrastructure activities across GDIA, IT, and Business teams to ensure a seamless analytics ecosystem
- Design, prototype, and productionize sophisticated AI agents (conversational and task-oriented) to automate business processes and enhance agent workflows
- Own the end-to-end lifecycle of Credit Analytics software, from infrastructure design and feature engineering to deployment, monitoring, and automated retraining.
- Identify opportunities to leverage AI/ML techniques to streamline legacy operations and improve decision-making accuracy
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
