Sr. Manager of Manufacturing Analytics & Data Science

Niagara Bottling, LLC
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Job Description

Competencies

  • Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing
  • Expert command of machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
  • Experience with scripting languages (R, Python, SQL, Java, etc.)
  • Experience in various enterprise resource solution tools such as Oracle ERP, Oracle EBS, and Oracle OBIEE/OACS.
  • Proven strong aptitude in data visualization platforms such as Tableau, PowerBI, Grafana.
  • Proven strong aptitude in data science platforms such as MS Azure
  • Experienced in Manufacturing Execution Systems
  • Self-development – A drive to learn and master new technologies and techniques.
  • Entrepreneurial – Initiative and resourcefulness with limited guidance.
  • Leadership – Engaging, passionate, courageous leader who inspires and influences team members of all levels with humility and respect; Influences actions and opinions of others
  • People Development – Fosters a quality focus in others; Builds upon areas of strength; Designs and executes plan to improve areas of weakness
  • Project Management – Detail oriented with the ability to prioritize multiple tasks and projects and complete assignments quickly and accurately.
  • Problem Solving – Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully
  • Oral Communication - Speaks clearly and persuasively; Demonstrates ability to communicate well with other team members and with non-technical end users; demonstrates presentation skills. 
  • Team Work - Balances team and individual responsibilities; contributes to building a positive team spirit; able to build morale and group commitments to goals and objectives. 
  • Written Communication - Writes clearly and informatively; presents numerical data effectively

Qualifications

  • Minimum Qualifications:
    • 6 Years– Experience in Field or similar
    • 4 Years – Experience in Position
    • 4 Years – Experience managing people/projects

*experience may include a combination of work experience and education

  • Preferred Qualifications:
    • 10+ Years – Experience in Field or similar
    • 6 Years – Experience working in Position
    • 6 Years – Experience managing people/projects

*experience may include a combination of work experience and education

Competencies

Proficiency in, but not limited to:

  • Microsoft Office Applications – Word, Excel, Access, PowerPoint, Outlook, Visio, etc.
  • Oracle Business Systems
  • Manufacturing Execution Systems
  • Efficiency Improvement Analysis Applications
  • New System Implementation & Administration
  • Experience with modeling and analysis including machine learning, statistical analysis, operations research and management science and data mining.
  • Experience with scripting languages - R, Python, SQL, etc.
  • Able to translate data into recommendable actions to senior staff
  • Able to develop a thorough understanding of existing processes to conceptualize process improvements and deliver tangible results
  • Strong analytical and problem solving skills
  • Project Management
  • Self-Motivated with a proven record of taking the 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
  • Exercise sound judgment and ability to work effectively with a diverse workforce

This position embodies the values of Niagara’s LIFE competency model, focusing on the following key drivers of success:

  • Lead Like an Owner
  • Manages a safe working environment, accurately documents safety related training, and effectively communicates safety incidents
  • Provides strategic input and oversight to departmental projects
  • Makes data driven decisions and develops sustainable solutions
  • Skilled in reducing costs and managing timelines while prioritizing long run impact over short term wins
  • Makes decisions by putting overall company success first before department/individual success
  • Leads/facilitates discussions to get positive outcomes for the customer
  • Makes strategic decisions which prioritize the needs of the customer over departmental/individual goals
  • InnovACT
    • Continuously evaluates existing programs and processes, and develops new initiatives to increase efficiency and reduce waste
    • Creates, monitors, and responds to departmental performance metrics to drive continuous improvement
    • Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change
  • Find a Way
    • Demonstrates ability to think analytically and synthesize complex information
    • Effectively delegates technical tasks to subordinates
    • Works effectively with departments, vendors, and customers to achieve organizational success
    • Identifies opportunities for collaboration in strategic ways
  • Empowered to be Great
    • Makes hiring decisions primarily based on culture fit and attitude, and secondarily based on technical expertise
    • Engages in long term talent planning
    • Provides opportunities for the development of all direct reports
    • Understands, identifies, and addresses conflict within own team and between teams
  • Proven record of task and project execution from conception to completion

Education

  • Minimum Required: 
    • Bachelor's Degree (Machine learning, Computer Science, Statistics, Engineering or similar)
    • Master's Degree (Machine learning, Computer Science, Statistics, Engineering or similar)
  • Preferred: 
    • Master's Degree (Machine learning, Computer Science, Statistics, Engineering or similar)

Typical Compensation Range

Pay Rate Type: Salary

$138,930.00 - $194,501.00 / Yearly

Bonus Target: 15% Annual

Benefits

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

Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

Company Info.

Niagara Bottling, LLC

Niagara Bottling, LLC is a family owned manufacturer of bottled water and soft drinks based in Diamond Bar, California. They produce private label bottled water for a number of companies including Walmart (Great Value), Safeway Inc. (Signature Select), Costco (Kirkland Signature), and Sam's Club (Member's Mark).

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Niagara Bottling, LLC is currently hiring Senior Data Science Analyst Jobs in Diamond Bar, CA, USA with average base salary of $138,930 - $194,501 / Year.

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