Systems Development Engineer II - Masco Corporation

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.




Consider applying here, if you want to:



+ Work in an entrepreneurial and dynamic environment with a chance to make an impact.


+ Develop lasting relationships with great people.


+ Have the opportunity to build a satisfying career.





We offer competitive compensation and benefits packages for our Team Members.





Systems Development Engineer II






The ​ Systems Development Engineer – Level 2 ​ is responsible f or designing Condition Based Monitoring programs for all of Niagara’s fixed assets. These include working on condition monitoring technologies and design continuous health monitoring systems through various IoT solutions to ensure all predictive maintenance related metrics and projects are maintained , completed and the company maintenance culture is at par with industry 4.0 .










Detailed Description

+ Develop & Design Predictive Models and A nalytic systems through Continuous Monitoring of critical asset parameters .

+ Conducts research to identify new opportunities for data science applications within an organization’s industry or sector.

+ Reviews data science proposals to determine whether they are feasible based on available resources.

+ Design, construct, install, test and maintain highly 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 with objectives .

+ 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, and optimizing automation processes using machine learning 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, identify improvement opportunities, and/or implement technology systems that meet business objectives .

+ Develop & Design advanced systems for Digitalizing all manufacturing assets across all Niagara plants.

+ Support with reliability knowledge the execution of the asset criticality, as part of the Asset Health Assurance Model.

+ Determine the function, capability, functional failure modes, probability of failure, impact severity and acceptable risk for assets to define the right maintenance requirements to eliminate functional failures and their effects.

+ Establish a systematic PM/ PdM review proce ss with support from the plant maintenance team to ensure the effectiveness of the existing PM/ PdM program.

+ Coordinate PdM efforts on site to measure and secure an upward trend of the Asset Health.

+ Ensure appropriate follow up recommendations and actio ns from the inspection program of assets.

+ Identify and implement opportunities for improvement of Asset Health to optimize plant uptime.

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

+ Support maintenance tasks aligned with the reliabilit y improvement: link active machine downtime causes with PM (Preventive Maintenance) assessment and revision , Inventory Reduction , RCA, RCM, 5Why, 5S, and Reliability Centered Maintenance skills improvement using reliability knowledge.

+ Lead, as required , the RCFA and RCM processes within Maintenance organization using cross – functional teams to ensure appropriate changes to the PM/ PdM program or plant modifications are made which improve reliability and reduce avoidable maintenance costs.

+ Participate in and take relevant agreed actions for OPEX team meetings to ensure equipment capabilities and help to develop a culture focused on solutions.

+ Keep approp riate records to track program or equipment changes.

+ Coach site personnel in the digitalization work processes to ensure continued alignment to the Asset Health Assurance model.

+ Propose replacement projects based on asset health and conditions for the respective area of responsibility.

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

+ Perform machine availability and OEE analysis to identify issues 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 of Level 1 Engineer s .

+ Systems Development Engin eer is estimated to travel 1 0- 2 0 %

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













Work Experience /KSA’s

+ Required:

+ ​ ​ 2-4 years ​ – Experience in Industrial/Automation/Data Science or other related fields

+ ​ ​ 2-4 years ​ – Experience in p osition in Industrial/Automation/Data Science field in manufacturing






* Experience may include a combination of work experience and education

+ Preferred:

+ ​ ​ 3-5 years ​ – Experience in Industrial/Automation/Data Science or other related fields

+ ​ ​ 3-5 years ​ – Experience in position in Industrial/Automation/Data Science field in manufacturing








* Experience may include a combination of work experience and education









Preferred Competencies and Skills

+ Advanced understanding 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 Management etc.

+ Pr oficiency with common data science toolkits, such as R, Weka, Python with focus on NumPy, Matplotlib and P andas, MATLAB , etc.

+ Proficiency in using query lan guages such as SQL, Hive, Pig. E tc .

+ Proficiency in, but not limited to:

+ Microsoft Office Applications – Word, Exce l, PowerPoint, Outlook, Project , Visio, etc.

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

+ Basic scripting and programming skills such as Java Script, C++, Python and C#

+ Able to translate data into recom mendable actions to senior management

+ Strong analytical and problem solving skills

+ 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 ​ in Computer / Industrial/Automation/Data Science Engineering or other related fields or equivalent experience

+ Preferred :

+ ​ ​ Master's Degree ​ in Computer /Industrial/Automation/Data Science Engineering













Certification /License :

+ Required: N/A

+ Preferred: N/A











Foreign Language

+ Required: ​ None Required ​

+ Preferred: ​ Elementary Proficiency ​ , Spanish










Typical Compensation Range

Pay Rate Type: Salary




$96,309.20 - $139,648.35 / Yearly









Benefits


https://careers.niagarawater.com/us/en/benefits






* *Los Angeles County applicants only** Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.






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Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.



Niagara Bottling, LLC has been family owned and operated since 1963. Niagara is a leading bottled water manufacturer in the U.S., supplying major retailers across the nation. With incredible growth over the past several years, the career possibilities at Niagara are endless!




Niagara’s culture is fast-paced, innovative and intensely collaborative. Our Team Members are passionate, driven and always find a way to get the job done. We work hard and play hard while staying true to our family atmosphere.




From competitive benefits and retirement options to educational reimbursements, ongoing training courses and exciting career advancement opportunities, at Niagara we truly take care of our Team Members.




We hope that you consider joining our Niagara family!




Niagara Bottling LLC is an Equal Opportunity Employer that does not discriminate on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices.