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# Data Scientist Lead

- **Company:** Robotic Process Automation, LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Tensorflow, SQL Databases, Pytorch, Scikit Learn, AutoGen, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.juju.com/job/28_25197_2c2e5d6cfc2f3f64c08ea83e97fc0d7e

## About the Role

* Bachelor'sdegreeinarelevantfieldorequivalentprofessionalexperience.
 * 6+yearsofexperienceindatascience,AIengineering,orappliedML,including2+yearsofteamleadershiportechnicalmanagement.
 * Hands-onexperiencebuildingagenticAIsystems,including:
 * Tool-usingagents
 * Planning/monitoringagents
 * StrongexperiencewithMCPserversorsimilaragentintegrationframeworks(e.g.,LangChaintools,AutoGen,OpenAItoolcalling).
 * ProficiencyinPython,SQL,MLframeworks(PyTorch,TensorFlow,scikit-learn).
 * Experiencewithclouddataandcomputeplatforms(Azure,Databricks,AWS,orGCP).
 * StrongunderstandingofLLMs,RAGpipelines,structuredtoolprotocols,andknowledgegraphintegration.
 * Excellentcommunication,stakeholderpartnership,andproduct-orientedthinking.

## Description

* Leadthestrategy,architecture,andimplementationofagenticAIsystemsforHealthcareDigital.
 * DesignandmanageMCPserversthatprovidestructured,securetoolaccessforAIagentsacrossplatformsincludingmealordering,foodproduction,andEVStaskmanagement.
 * Buildmulti-agentsystemswithclearroles-e.g.,planningagents,QAagents,data-retrievalagents,andoperationalcopilots-thatcollaboratetosupporthealthcareworkflows.
 * DevelopgovernanceandroutinglayersthatenableAIagentstosafelyexecutetasks,calltools,generaterecommendations,andinteractwithstructuredoperationaldata.

ProductIntelligence&EmbeddedAIAgents:

 * Integrateagent-drivencapabilitiesintoHealthcareDigital'splatforms:
 * PatientMealOrdering:agenticnutritionchecks,dietaryruleenforcement,personalizedrecommendations.
 * FoodProduction:prep-planningagents,demandforecastingagents,andwaste-reductionoptimizationloops.
 * EVSTaskManagement:task-rankingagents,routingagents,andreal-timeenvironmentalmonitoringcopilots.
 * BuildAIcopilotsforassociatesandmanagersthatsupportdecision-making,reduceadministrativeload,andautomaterepetitivetasks.
 * EnsureAIagentsinteractseamlesslywithUIworkflows,APIs,productlogic,andunderlyingdatasystems.

OperationalDataScience&Automation:

 * Buildanddeploypredictivemodelsthatfeedagentdecision-making,including:
 * Mealdemandforecasting
 * EVStaskpredictionandprioritization
 * Laborandstaffingoptimization
 * Anomalydetectionforoperationalissues
 * IntegratemodeloutputswithMCP-basedagentstocreateclosed-loopautomation-agentsthatbothdetectandact,notjustanalyze.
 * Translatefindingsintousableinsights,dashboards,andoperationalrecommendationsforfieldteams.

Leadership&Cross-FunctionalCollaboration:

 * Coachandmentorateamofdatascientists,MLengineers,andAIengineersfocusedonagentdevelopmentandMCPintegration.
 * PartnerwithHealthcareLeadership(Culinary,EVS,ClinicalNutrition,Operations)todriveAIadoptionandprioritizehigh-valueopportunities.
 * CollaboratewithIT,andenterpriseAIteamstoalignonarchitecture,security,andplatformstandards.
 * CommunicatecomplexAIandagent-basedsystemconceptstonon-technicalstakeholdersinclear,practicallanguage.

Data,Governance&ResponsibleAI:

 * EnsureallAIandagentsystemsadheretogovernanceframeworks,includingprivacy,compliance,andHIPAA.
 * Establishmonitoring,auditability,andretrainingworkflowsforbothmodelsandagents.
 * Implementagentsafetycontrols,includingsandboxedtoolaccess,role-basedpermissions,andfallbacksforcriticaltasks.