Systems Development Engineer I - Niagara Bottling

Detailed Description 

• Develop & Design PredictiveModels andAnalytic systemsthrough Continuous Monitoring of critical asset parameters. 

• Conducts research toidentifynew opportunities for data science applications within an organization’s industry or sector.  

• Reviews data science proposals todeterminewhether they arefeasiblebased on available resources.  

• Design, construct, install, test andmaintainhighly scalable data management systems. 

• Ensure systems meet business requirements and industry practices. 

• Build high-performance algorithms, prototypes, predictive models, and proof of concepts. 

• Reports results of data science projects to stakeholders, including executives and department managers.  

• Communicates with stakeholders throughout the project lifecycle to provide updates on progress and ensure alignment withobjectives.  

• Coordinates with IT teams to ensure that the infrastructure needed to support data science projects is available.  

• Use extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools.  

• Create custom software components (e.g., specialized UDFs) and analytics applications 

• Employ a variety of languages and tools (e.g., scripting languages) to marry systems together. 

• Recommend ways to improve data reliability, efficiency, and quality 

• Collaborate with data architects, modelers, and IT (Information Technology) team members on project goals. 

• Work on Process Automation development tools and Condition Based Maintenance Projects 

• Partner with IT (Information Technology) and Manufacturing Information Systems groups as part of project implementation. 

• Selecting features, building, andoptimizingautomation processes using machinelearning and data acquisition techniques 

• Research opportunities for data acquisition and new uses for existing data. 

• Enhancing data collection procedures to include information that is relevant for building analytic systems 

• Works closely with all business units and engineering teams to develop strategy for Predictive and Prescriptive Models of Bottling assets 

• Processing, cleansing, and verifying the integrity of data used for analysis 

• Doing ad-hoc analysis and presenting results in a clear manner 

• Manage systems for measuring asset reliability for all manufacturing assets across all Niagara plants 

• Uses fundamental engineering concepts, practices, and procedures to analyze operational data/methods,identifyimprovement opportunities, and/or implement technology systems that meet businessobjectives. 

• Develop& Design advancedsystems forDigitalizingallmanufacturingassetsacross all Niagara plants. 

• Support with reliability knowledge the execution of the asset criticality, as part of the AssetHealth Assurance Model. 

• Determinethe function, capability, functional failure modes, probability of failure, impactseverity and acceptable risk for assets to define the right maintenance requirements toeliminatefunctional failures and their effects. 

•  Establish a systematic PM/PdMreview process with support from the plant maintenance teamto ensure theeffectiveness of the existing PM/PdMprogram. 

• CoordinatePdMefforts on site to measure and secure an upward trend of the Asset Health. 

• Ensure appropriatefollow uprecommendations and actions from the inspection programof assets. 

• Identifyand implement opportunities for improvement of Asset Health tooptimizeplantuptime. 

• Support the work preparation process to ensure job plans are prepared that explains thecorrect proactive tasks for effective work execution. 

• Support maintenance tasks aligned with the reliability improvement: link active machine downtime causes withPM (Preventive Maintenance)assessment and revision,InventoryReduction, RCA, RCM, 5Why, 5S, andReliability CenteredMaintenance skillsimprovement using reliability knowledge. 

• Lead, asrequired, the RCFA and RCM processes within Maintenanceorganizationusingcross – functional teams to ensureappropriatechangesto the PM/PdMprogramor plantmodifications are made which improve reliability and reduce avoidable maintenance costs. 

• Participate in and take relevant agreed actions for OPEX team meetings to ensure equipmentcapabilities and help to develop a culturefocusedon solutions. 

• Keepappropriate recordsto track programor equipment changes. 

• Coach site personnel in thedigitalizationwork processes to ensure continued alignment to theAsset Health Assurance model. 

• Propose replacement projects based on asset health and conditions for the respective area ofresponsibility. 

• Establish cycles of improvement to ensure a sustainable reliability process. 

• Perform machine availability and OEE analysis toidentifyissues related to line performance and collaborate with plant and OEMs to trouble shoot these issues for improved line performance.  

• Manage and mentor the career development path ofLevel 1 Engineers. 

• SystemsDevelopmentEngineer is estimated to travel10-20% 

• Please note this job description is not a full list of activities, duties or responsibilitiesrequired ofthe employee for this job.Duties,responsibilities,and activities may change at any time with or without prior notice. 

WorkExperience/KSA’s 

• Required: 

• ​​1-2years​  –Experience in Industrial/Automation/Data Science or other related fields 

• ​​1-2years​  –Experience in positionin Industrial/Automation/Data Science field in manufacturing 

*Experiencemay include a combination of work experience and education 

• Preferred: 

• ​​2+years​ –  Experience in Industrial/Automation/Data Science or other related fields 

• ​​2+years​ –Experience in position in Industrial/Automation/Data Science field in manufacturing 

*Experiencemay include a combination of work experience and education 

PreferredCompetenciesand Skills 

• Advancedunderstanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. 

• Good, applied statistical skills, such as distributions, statistical testing, regression, etc. 

• Basic understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY,BnR,Edge data Managementetc.  

• Proficiencywith common data science toolkits, such as R, Weka,Python with focus onNumPy,Matplotliband Pandas,MATLAB, etc. 

• Proficiencyin using query languages such as SQL, Hive, Pig. Etc. 

• Proficiencyin, but not limited to: 

• Microsoft Office Applications – Word, Excel, PowerPoint, Outlook, Project, Visio, etc. 

• Basic understanding of data acquisition and processing tools and techniques and developing algorithms on common platforms to generate outputs  

• Basicscripting and programming skillssuch as Java Script, C++, Python and C# 

• Able to translate data into recommendable actions to senior management 

• Strong analytical andproblem solvingskills  

• Self-motivated with a proven record of taking initiative 

• Able to work with minimal supervision 

• Detail-oriented with excellent oral and written communication skills 

• Able to execute tasks in a very dynamic and ever-changing environment 

Education 

• Minimum Required:   

• ​​Bachelor's Degree​inComputer/Industrial/Automation/Data ScienceEngineeringor other related fields or equivalent experience 

• Preferred:   

• ​​Master's Degree​inComputer/Industrial/Automation/Data Science Engineering 

Certification/License:  

• Required:N/A 

• Preferred:N/A 

ForeignLanguage  

• Required:​None Required​ 

• Preferred: ​Elementary Proficiency​,Spanish