Data Scientist, Data & AI Team (US Remote)

JAGGAER; North Carolina; Remote; USD 100,000 - 140,000; Full time

Job summary

JAGGAER is seeking a Data Scientist to join its Data & AI team, focusing on building scalable data pipelines and ML models. This role involves collaborating with cross-disciplinary teams to drive AI functionalities that enhance customer experiences. Ideal candidates will have extensive experience in ML solutions and data engineering, and a passion for driving insights that improve business outcomes.

Benefits

Exceptional medical, dental & vision plans

Unlimited vacation for exempt employees

401(k) matching

Flexible work options

Wellness reimbursements

Qualifications

• 10+ years designing and deploying production-grade ML or data engineering solutions.
• Proficiency in Python (Pandas, PySpark, etc.) and SQL.
• Hands-on experience with data platforms like OpenSearch and Snowflake.

Responsibilities

• Build scalable ingestion and ETL/ELT pipelines across multiple platforms.
• Prototype, train, and evaluate predictive and generative models.
• Collaborate with front-end teams to integrate real-time analytics.

Skills

Python

SQL

Data Engineering

ML/AI

Education

Bachelor’s or Master’s in Computer Science, Statistics, Math, or related field

Tools

OpenSearch

Snowflake

Redshift

SageMaker

Job description

Overview

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

We are seeking a Data Scientist for Data & AI team.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 ChiefDigital &AIOffice (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.

Principal Responsibilities

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, OpenSearch) that power retrieval augmented generation (RAG) and Agentic AI workflows.
• Model Development & Experimentation
  • Prototype, train, and evaluate predictive, prescriptive, and generative models in AmazonSageMaker (plus open source frameworks).
  • Implement automated A/B tests and champion/challenger experiments; translate findings into product requirements.
• ML/LLMOps
  • 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.

Position Requirements

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>$500billion 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 exceptional medical, dental & vision plans, adoption assistance, wellness reimbursements, generous parental leave, 401(k) matching, flexible work options, unlimited vacation for exempt employees, and more!

Our Values:

At JAGGAER, our values shape everything we do—from supporting customers and collaborating with teammates to building products and fostering our culture.

Be Collaborative: Promote mutual respect, work productively with others, and share responsibility for success.

Be Accountable: Own your actions, learn from challenges, and stay proactive to achieve results.

Be Adaptable: Embrace change, encourage innovation, and stay effective through significant transitions.

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.

ACCESSIBILITY:

JAGGAER is committed to providing access and reasonable accommodation to applicants. If you are a qualified individual with a disability or a disabled veteran and you think you may require an accommodation for any part of the recruitment process, please send a request to: [e-mail] All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Pay Transparency Nondiscrimination Provision (dol.gov)

Know Your Rights: Workplace Discrimination is Illegal (dol.gov)