drjobs Data Scientist, Data & AI Team (US Remote)

Data Scientist, Data & AI Team (US Remote)

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1 Vacancy
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Job Location drjobs

Durham - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

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 1300 global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses. For more information visit

We are seeking a Data Scientist for Data & AI will design build and operationalize the data pipelines ML models and LLM powered agents that turn JAGGAERs vast structured and unstructured data into real time actionable insights for our customers.

Our ChiefDigital &AIOffice (CDAO) owns the companys 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:

  • Bachelors or Masters in Computer Science Statistics Math Data Science or related field.
  • 10years 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 CDAOs 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 familys 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 dofrom 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: All requests for accommodations are treated discreetly and confidentially as practical and permitted by law.

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Employment Type

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