JAGGAER

Data Scientist

• Data & Feature Engineering: Build scalable ingestion, ETL/ELT, and feature store pipelines across OpenSearch, Snowflake, Redshift, and Redis.
• Design semantic layers and vector indexes (Pinecone, OpenSearch) that power retrieval augmented generation (RAG) and Agentic AI workflows.
• Model Development & Experimentation: Prototype, train, and evaluate predictive, prescriptive, and generative models in Amazon SageMaker (plus open source frameworks).
• Implement automated A/B tests and champion/challenger experiments; translate findings into product requirements.
• ML / LLM Ops: Own CI/CD, monitoring, drift detection, and scalable inference for classical ML and LLM pipelines.
• Package models and agents into reusable micro services with Terraform / Docker / Kubernetes.
• Agentic Platform Integration: Orchestrate multi-agent task flows (LangGraph, CrewAI, or equivalent) that call JAGGAER and third-party APIs.
• Collaborate with front-end teams to embed real-time analytics and AI insights into customer-facing apps.
• Insight Generation & Storytelling: Diagnose customer data issues; deliver visual analyses (Tableau, Superset, Streamlit, or R/Python) for executives and non-technical stakeholders.
• Champion data-driven decision making across Product, Services, and Go to Market teams.

Architect, Data Scientist, Data & AI Team