Niagara Bottling

VP of Data Science & BI The Vice President of Data Science and Business Intelligence leads the functional group whose core mission is to contribute to the ideation, design, development, and deployment of end-to-end analytics applications and solutions as well as help lead the Data Science practice within the organization through a well-balanced mixture of People, Process, and Technology.. Proof-of-concept implementation of advanced statistical modeling and machine learning algorithms. Facilitates the application of innovative quantitative techniques from the areas of operations research, statistical analysis, predictive and prescriptive modeling, and machine learning to help provide next-level insights and decision-support tools. Business Intelligence - Familiarity with IT infrastructure, architecture, and best-in-class software. 10+ Years - Experience in data science, analytics, and machine learning, with a track record of successfully driving data-driven initiatives

data science

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.
VP of Data Science & BI The Vice President of Data Science and Business Intelligence leads the functional group whose core mission is to contribute to the ideation, design, development, and deployment of end-to-end analytics applications and solutions as well as help lead the Data Science practice within the organization through a well-balanced mixture of People, Process, and Technology. This role will collaborate closely with both internal (department) and external (organizational) client teams to help identify opportunities to create value through better use of data. This role will ensure that data is transformed into actionable information that drives programmatic and administrative insights. The role demands strong thought leadership as well as excellent communication, relationship building, and robust problem-solving. Said candidate will play a crucial role in Niagara's rapid and continuous transformation into a world-class supply chain organization. So doing will require us to leverage leading-edge data transformation technologies and process improvement methodologies to enable our company to dominate in our targeted market segments.
Essential Functions
Responsibilities:
Provides strategic vision and unifying leadership to an organization comprising of Data Science and Decision Analytics
Proof-of-concept implementation of advanced statistical modeling and machine learning algorithms
Ability to perform analyses and tests that quantify the business value of an opportunity
Manage and contribute to the development of Data Scientists at varying stages of their careers
Provide technical leadership in establishing best practices in initiating, planning, and executing Big Data application development
Establish and maintain data quality standards and processes to improve the overall reliability of BI solutions.
Lead the design and implementation of data models, dashboards, and reports that provide actionable insights to different business units.
Collaborate with stakeholders to identify KPIs and data requirements to support data-driven decision-making.
Build strong relationships with stakeholders, understanding their business challenges and translating them into data solutions.
Define and track key performance metrics for the BI team's effectiveness and impact on the organization's goals.
Effectively communicate the value of BI initiatives and outcomes to stakeholders at all levels.
Scope and manage complex data analytic projects end-to-end in a matrixed environment, which includes communicating with both technical and non-technical stakeholders
Translate business and research questions into analytics plans using Niagara's data assets, and identify and implement approaches to scale or automate processes where applicable
Enable large-scale and intricate technology-based solutions toward maximizing the company's long-term strategic positioning beyond simple cost optimization while maintaining service
Fosters internal culture of thought leadership and excellence in the areas of Decisions Analytics, Data Science,
Facilitates the application of innovative quantitative techniques from the areas of operations research, statistical analysis, predictive and prescriptive modeling, and machine learning to help provide next-level insights and decision-support tools
Provides highly actionable strategic and operational key performance indicators and dashboards for internal and external customers
Please note this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.
Competencies
List out all of the competencies required for the position following these guidelines:
Critical Thinking - Able to think critically (define a problem and determine the information needed to solve it; understand unspoken assumptions; form and test hypotheses; and judge the validity of conclusions).
Quantitative Analysis - Skillful in using quantitative analysis to understand business issues.
Strategic Thinking - Able to grasp the big picture and think long-term.
Multiple Focus - Able to juggle many projects and responsibilities at once.
Influence - Can influence and persuade other people, even without direct authority.
Leadership - Displays passion and optimism; Inspires and motivates others to perform well; Influences actions and opinions of others
People Management and Development - Fosters a quality focus in others; Builds upon areas of strength; Designs and executes plan to improve areas of weakness
Process Improvement - Fosters a relentless focus on streamlining processes and waste removal
Business Intelligence - Familiarity with IT infrastructure, architecture, and best-in-class software
Change Management - Communicates changes, builds commitment, and overcomes resistance
Oral Communication - Speaks clearly and persuasively in both positive and negative situations; Demonstrates refined and comprehensive presentation skills
Written Communication - Writes clearly and informatively; Presents numerical data effectively; Able to read and interpret intricate written information and data
Strong verbal, writing, and presentation skills to communicate effectively with immediate team and peers.
Analytical and problem-solving skills
Strong attention to detail and organization
Expertise knowledge of and experience with Microsoft Word, Excel, Access, and Outlook
Qualifications
Minimum Qualifications: 10+ Years - Experience in data science, analytics, and machine learning, with a track record of successfully driving data-driven initiatives
10+ Years - Experience in application of advanced analytics to generate insights that can be leveraged for tangible business value.
10+ Years - Experience managing people/projects *experience may include a combination of work experience and education
Preferred Qualifications: 10+ Years - Experience in data science, analytics, and machine learning, with a track record of successfully driving data-driven initiatives
10+ Years - Experience in application of advanced analytics to generate insights that can be leveraged for tangible business value.
10+ Years - Experience managing people/projects *experience may include a combination of work experience and education
Education
Minimum Required: Bachelor's Degree in Data Science, Computer Science, Statistics, or a Related Field Preferred: Master's Degree or above in Data Science, Computer Science, Statistics, or a Related Field Typical Compensation Range
Pay Rate Type: Salary$253,594.00 - $380,392.00 / Yearly Benefits
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