Data Scientist Lead
Robotic Process Automation, LLC
Charlotte, NC, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Microsoft Azure
Tensorflow
SQL Databases
Pytorch
Scikit Learn
AutoGen
Databricks
Job 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.
Requirements
- 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.
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