Data Scientist

ABOUT JAGGAER:
JAGGAER is the global leader in autonomous commerce. Our AI-first Source-to-Pay platform empowers procurement and supply chain leaders to drive innovation, resilience, and enterprise-wide value. We are building the future of intelligent procurement—and you can be part of that transformation.

WHAT WE ARE LOOKING FOR:
You will design, build, and operationalize the data pipelines, ML models, and LLM powered agents that turn JAGGAER’s vast structured and unstructured data into real time, actionable insights for our customers.
Our Chief Digital & AI Office (CDAO) owns the company’s data foundation and AI innovation agenda, powering new Agentic AI experiences across our Source to Pay platform. Working inside a multidisciplinary Data & AI team within the CDAO organization, you will partner with product, engineering, and customer success to ship data driven features that eliminate friction “from every buy, every contract, every supplier touchpoint.

• Data & Feature Engineering
o Build scalable ingestion, ETL/ELT, and feature store pipelines across OpenSearch, Snowflake, Redshift, and Redis.
o Design semantic layers and vector indexes (Pinecone, OpenSearch) that power retrieval augmented generation (RAG) and Agentic AI workflows.

• Model Development & Experimentation
o Prototype, train, and evaluate predictive, prescriptive, and generative models in Amazon SageMaker (plus open source frameworks).
o Implement automated A/B tests and champion/challenger experiments; translate findings into product requirements.

• ML / LLM Ops
o Own CI/CD, monitoring, drift detection, and scalable inference for classical ML and LLM pipelines.
o Package models and agents into reusable micro services with Terraform / Docker / Kubernetes.

• Agentic Platform Integration
o Orchestrate multi agent task flows (LangGraph, CrewAI, or equivalent) that call JAGGAER and third party APIs.
o Collaborate with front end teams to embed real time analytics and AI insights into customer facing apps.

• Insight Generation & Storytelling
o Diagnose customer data issues; deliver visual analyses (Tableau, Superset, Streamlit, or R/Python) for executives and non technical stakeholders.
o Champion data driven decision making across Product, Services, and Go to Market teams.

Minimum Qualifications:
• Bachelor’s or Master’s in Computer Science, Statistics, Math, Data Science, or related field.
• 10+ years designing and deploying production grade ML or data engineering solutions.
• Proficiency in Python (Pandas, PySpark, scikit learn, TensorFlow/PyTorch) and SQL.
• Hands on work with at least two of the following platforms: OpenSearch, Snowflake, Redshift, Redis, Pinecone, SageMaker.
• Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
• Experience with Linux, Git, CI/CD, Docker, and at least one orchestration framework (Airflow, Prefect, Kubeflow, or Dagster).
• Clear, concise communicator able to present complex analyses to senior leadership.

Preferred Qualifications:
• Prior exposure to LLM fine tuning, prompt engineering, or RAG pipelines.
• Experience deploying ML services on AWS (S3, ECS/EKS, Bedrock), Azure, or GCP.
• Knowledge of procurement, supply chain, IoT sensor, or ERP data domains.
• Familiarity with Agentic AI frameworks (LangChain Agents, CrewAI, Haystack, etc.).
• Track record of hackathon wins, open-source contributions, or published research.

Why JAGGAER?:

• Work directly with the CDAO’s innovation team to shape the future of enterprise AI.  Your models and agents will be embedded directly into a platform that manages >$500 billion in spend.
• Influence platform direction from early-stage R&D.
• Collaborate with world-class talent in a fast-paced, impact-driven culture.
• Enjoy flexibility, purpose-driven work, and competitive compensation.

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