Machine Learning Engineer

Position Title: Machine Learning Engineer

The Data Scientist /MLEngineerbuildsanddeployspredictivemodelsandanalyticalsystemsthatturnAGS'splayerandgamedataintoquantitativeinsightsthatdirectlyimprovegamedesignandcommercialdecisions.

Thisrolebridgesbehavioraldatascience(understandinghowplayersinteractwithgames) andproductionMLengineering(deployingmodelsthatactuallyreachdecision-makers).Itfeedsgamedesignerswithdata-drivendesignrecommendationsfortheML-drivengamedesigninitiative,supportsyieldmanagementwithpredictivemodelsfor

Interactive Yield Max ,andenablesoperatorstounderstandtheirplayerbasemoredeeplyanchoredtoAGS'sTech&DataheromissionofanaccessibledatalayerwithliveKPIspoweringeverydecision.

• Buildplayersessionbehavioralmodels
  retention prediction,abandonment modeling,post-bonusbehavioranalysis,andbetescalationmodelingfromiGamingsessiondata
• Developgameperformancepredictionmodels
  predictWPUPD,timeondevice,andfloorlongevityfromgamespecificationfeaturesandhistoricalperformancedata,usingagamefeatureextractionpipelinethatreverse-engineersexistingtitlesintostructured,reusable features
• Buildmathmodeloptimizationanalytics
  analyzeactualvs.theoreticalRTP,hit frequency,andbonusfrequency;identifymathmodelanomaliesacrossthedeployedfleet
• Createplayersegmentationmodels
  clusterplayersintobehavioralarchetypes(bonus hunters,jackpot chasers,basegamegrinders) toinformgamedesignandoperatorrecommendations
• Support the Interactive Yield Maxyield -management tool
  buildtheunderlyingmodelsthatpredictwhichAGSgamemaximizesperformanceinagivenfloorposition,operator property,andplayerdemographic
• Buildpredictivemaintenancemodels
  analyzecabineterrorlogsand,assensor/telemetrypipelinesmature(Dynamics Field Service /Dataverse),incorporatetelemetrytoidentifyfailureprecursorpatternsandpredictcomponentfailures
• Feedgamedesigndecisions
  translatemodeloutputsintogamedesigner-friendlyinsightsthatareactionableinthegamespecificationprocess
• DesignandanalyzeA/Btests
  experimental design,statistical analysis,andresultsinterpretationforgamemathvarianttesting(whereregulatorilypermitted)
• Productionalizemodels
  packagemodelsfordeploymenton
  
  AzureML/Fabric,withMLflow-based registry,monitoring,andretrainingpipelines

• 48 years of data science and/or ML engineering experience
  , with demonstrated production model deployment (not just notebook analysis)
• Behavioralanalyticsexpertise
  hasbuiltretention,churn,orengagementmodelsusingevent-levelbehavioraldata(session logs,click streams,transaction sequences)
• StrongPythonandSQLskills
  pandas,scikit-learn,XGBoost,stats models;canquerythedatawarehouseindependently(amixofon-premSQLServerandSalesforcetoday,migratingtoMicrosoftFabric/One Lake) withoutrelyingonadataengineerforeveryanalysis
• Statistical rigor
  survival analysis,A/Btestdesign,causal inference,regression modeling;understandsthedifferencebetweencorrelationandcausation
• Machinelearningbreadth
  classification,regression,clustering,recommendation systems;canselecttherightmodelingapproachforeachproblem
• Datacommunicationskills
  cantranslatemodeloutputsintobusiness-friendlylanguagethatgamedesignersandcommercialleaderscanacton
• Experiencewithmessy,real-worlddata
  comfortablewheregamefeaturesaren'tfullydocumentedandpipelinesarestillbeingbuilt;doesn'trequireperfectdatatodelivervalue
• Bachelor'sor Master'sdegreein
  
  Data Science,Statistics,Computer Science,Mathematics,orrelatedquantitativefield

• Gaming,mobile gaming,orconsumerbehavioralanalyticsexperience
• FamiliaritywithcasinogamemechanicsRTP,volatility,Hold&Spin,theoindex
• Experiencewithtimeseriesanalysisandanomalydetectionfor
  
  IoT/sensor data
• Knowledgeofresponsiblegamblingdataconsiderations
• Experience with MLflow, Azure ML, or Fabric Notebooks/Spark for model lifecycle management

Note:

Alloffersarecontingentuponsuccessfulcompletionofabackgroundcheck

* Postedpositionsarenotopentothirdpartyrecruitersandunsolicitedresumesubmissionswillbeconsideredfreereferrals.

AGSisanequalopportunityemployer

Equal Opportunity Employer, including disability/protected veterans

Equal employment opportunity, including veterans and individuals with disabilities.

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