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.
??Director of Data Science, AI/ML & Optimization??
The Director of Data Sciences - AI/ML & Optimization will lead the development and deployment of advanced analytics solutions that integrate artificial intelligence, machine learning, and optimization into Niagara's core business processes. This role is responsible for building scalable, ethical, and high-impact data science capabilities-including generative AI, classical ML, and predictive/prescriptive modeling-that drive measurable business value. The Director will also champion responsible AI practices and advanced optimization techniques to enhance decision-making across the enterprise.
As part of the newly formed Data and Decision Intelligence (DDI) team, this role plays a critical part in Niagara's transformation toward a centralized, insight-driven organization. The DDI team unifies the former Business Intelligence and Data Science functions to deliver trusted insights through intelligent automation, focused expertise , and advanced analytics. By aligning closely with business needs, DDI empowers smarter, faster, and more scalable decision-making across all functions.
The DDI organization is built on a value-first, decision-back strategy-starting with the business question and working backward to deliver actionable insights. This approach moves beyond traditional reporting and modeling, embedding analytics directly into business workflows. The team operates with agility, using design thinking and flexible frameworks to rapidly deliver solutions that are both impactful and user centric .
Structured around three strategic pillars-Analytics Product Management & Insights, Data Science, and Connected Data Foundation & Intelligent Automation-DDI enables Niagara to break down silos and scale analytics capabilities horizontally across the enterprise. This integrated model ensures that data is not only accessible and reliable but also actively drives business outcomes through automation, optimization, and innovation.
Essential Functions
Collaborate with full-stack product team & business partners to develop novel ways to meet business objectives utilizing cutting edge technology, models / algorithms and techniques
Effectively communicate the analytics approach and how it will meet and address objectives to business partners
Advocate and educate on the value of data driven decision making focusing on the "how and why" of solving problems
Help the organization accelerate the journey to predictive and prescriptive analytics - focused on business decisions
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads , analysts and developers
Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic products
Engineer features by using business acumen to find new ways to combine disparate internal and external data sources
Educate & share passion for Data Science with broader enterprise community; identify and develop long-te r m processes, frameworks, tools, methods and standards
Collaborate, coach, and learn with a growing team of Data Scientists
Stay connected with external sources of ideas through conferences and community engagements
AI governance, responsible AI / ethical AI, and scaling data science best practices across the organization
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 .
Qualifications
Minimum Qualifications:
10+ Years - Experience in Technology Consulting or Data Analytics
10+ Years - Experience in or supporting Operations/Strategy
10+ Years - Experience managing people and projects
*experience may include a combination of work experience and education
Preferred Qualifications:
15+ Years- Experience in Technology Consulting or Data Analytics
15+ Years - Experience in or supporting Operations/Strategy
15+ Years - Experience managing people and projects
*experience may include a combination of work experience and education
Competencies
Must have Python or R proficiency and experience working with Snowflake
Statistics, Modeling, algorithms expert, with proficiency in classical AI Machine Learning (ML), and GenAI to solve clustering, time series, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Experience with designing data warehouses and/or data lakes with big data technologies such as Hadoop, Spark or distributed databases like Redshift and Snowflake.
Experience with Big Data technologies desired - Hadoop, containerization, etc.
Experience with containerization and managing pipelines and microservices, e.g., Docker, Kubernetes
Experience with data visualization tools preferred - PowerBI , Alteryx, etc.
Strong understanding of agile methodologies
Experience as a Data Scientist on a cross-functional agile team preferred
Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
Utilizes team collaboration to create innovative solutions efficiently
Value focused, Agile delivery with think-big, fail-fast mindset, and measurable outcomes
Passionate about technology, responsible AI and excited about the impact of emerging / disruptive technologies
Wants to unleash inner self-starter and work in an environment that fosters entrepreneurial minds
Believes in culture of brutal transparency and trust and open to learning new ideas outside scope or knowledge
Th is position embodies the values of Niagara's LIFE competency model, focusing on the following key drivers of success:
Lead Like an Owner
Provides strategic input and oversight to departmental projects
Skilled in reducing costs and managing timelines while prioritizing long run impact
Leads/ facilitates discussions to get positive outcomes for the customer
Makes strategic and sustainable data driven 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
W orks effectively with dept s, vendors, and customers to achieve organizational success
Identifies opportunities for collaboration in strategic ways
Empowered to be Great
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
Education
Minimum Required:
Bachelors or Master's Degree in Supply Chain/Information Technology / Statistics / Computer Science/ Data Science or other related field
Preferred:
Ph.D in Supply Chain/Information Technology/Statistics/Computer Science/Data Science or other related field
Certification/License:
Required: N/A
Preferred: ASCM CPIM/CSCP, PMP PMI
Foreign Language
Required : None Required
Preferred : None Required
Typical Compensation Range
Pay Rate Type: Salary
$195,652.77 - $273,913.88 / Yearly
Bonus Target: 20% Annual
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.
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.
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.
