Principal Data Scientist

ABOUT JAGGAER

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.

Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses.

For more information, visit www.jaggaer.com

JAGGAER is an AI-powered procure to pay and source to pay software solutions platform for manufacturing, public sector and higher education.

WHAT WE ARE LOOKING FOR:

As a Principal Data Scientist, you will architect and operationalize the data pipelines, ML models, and LLM-powered agents that turn JAGGAER’s vast structured and unstructured data—spanning more than $500 billion in customer spend—into real-time, actionable insights for our customers, setting technical direction for how the Data & AI team tackles its hardest, most ambiguous problems.

Our Chief Data & 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.”

 Location: Hyderabad, India (In-Office)

Employment Type: Full-Time

Level: Principal

Reports To: VP of Architecture & Innovation, under the Chief Data & AI Officer (CDAO)

Department: Data & AI Office

ROLE RESPONSIBILITIES:

          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, QDrant, 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.
• Leverage Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex LLM functions) to deliver governed, in-warehouse inference and retrieval alongside external ML/LLM services.
• Own cost and performance optimization for ML/LLM inference and pipelines at scale, balancing latency, throughput, and cloud spend.
• Package models and agents into reusable micro-services with Terraform / Docker / Kubernetes.
• Serve as a technical authority for ML/LLM architecture decisions across the CDAO organization, establishing best practices and standards adopted by the broader Data & AI team.
• Mentor and coach data scientists and engineers across the Data & AI team, leading design reviews and fostering adoption of best practices.
  Agentic Platform Integration
• Orchestrate multi-agent task flows using Jaggaer’s AgentOS to 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

Minimum Qualifications:

• Bachelor’s or Master’s in Computer Science, Statistics, Math, Data Science, or related field.
• 15+ years designing and deploying production-grade ML or data engineering solutions, including a track record of owning ambiguous, org-wide technical initiatives.
• Proficiency in Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL.
• Hands-on work with at least two of the following platforms: OpenSearch, Snowflake (including Cortex AI functions), Redshift, Redis, Pinecone, SageMaker.
• Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
• Experience implementing data governance, access controls, and security best practices for sensitive enterprise and financial data.
• 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.
• Demonstrated ability to independently drive technical direction and influence decisions across multiple teams without formal authority.

Preferred Qualifications:

• Prior exposure to LLM fine-tuning, prompt engineering, or RAG pipelines.
• Hands-on experience with Snowflake, including Cortex AI functions, for in-platform ML/LLM workloads.
• 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.

What We Offer: 

At JAGGAER, we are committed to supporting you and your family’s well-being. Your health is a priority, and we offer a range of programs to help you stay well and thrive. Our benefits include Health, Accidental Insurance, and Term Life. 

Our Values - T.E.A.M:

At JAGGAER, our business is about people. Our products are built on intellectual property, but the real differentiator is the teams behind them–the way we collaborate, innovate, solve problems and deliver for customers. TEAM gives us a common set of expectations for how we work together across products, cultures, and geographies. 

Transparency - Openness Builds Trust: Candor strengthens relationships, speeds decision-making, and ensures problems are solved together—with customers, teammates, and partners.
Entrepreneurial Spirit – Own It, Drive It, Make It: A scrappy, customer obsessed, problem-solving mindset is at the cornerstone of both organizational and personal growth 
Accountability – Thumbs In, Not Fingers Out: We take responsibility ourselves before pointing elsewhere
Metrics-Driven Results – Outcomes Over Activities: Data and evidence guide our decisions, help us course-correct quickly, and ensure we’re delivering real impact. 

EEO: 

JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics. 

Great Place to Work® Certified 2026 – JAGGAER

Join a workplace where innovation, collaboration, and people come first.

We are proud to announce that JAGGAER has been certified as a Great Place to Work® for 2026, recognizing our commitment to creating an inclusive, empowering, and high-performing culture.

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