Sr. Manager, Data Science - AI , ML & Optimization

Corp-Main - Diamond Bar, CA, United States

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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.

Sr. Manager, Data Science - AI , ML & Optimization

The Sr. Manager of Data Science, AI/ML & Optimization will provide expertise in AI through use of machine learning, optimization, and statistical models to design, prototype, build and scale next generation Advanced engines, models and services to enable business value creation. The role will drive both operational & strategic programs to enhance business strategies. 

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-term 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:
    • 6+ Years  – Experience in Technology Consulting or Data Analytics
    • 6+ Years  – Experience in or supporting Operations/Strategy
    • 4+ Years  – Experience managing people and projects

              *experience may include a combination of work experience and education

  • Preferred Qualifications:
    • 10+ Years– Experience in Technology Consulting or Data Analytics
    • 10+ Years – Experience in or supporting Operations/Strategy
    • 6+ 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

This 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
    • Works effectively with depts, 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: 
    • 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

$159,716.54 - $231,589.00 / Yearly

Bonus Target: 15% 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.

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Tags: Agile AI governance Big Data Classification Clustering Computer Science Consulting Data Analytics Data visualization Docker Generative AI Hadoop Kubernetes Machine Learning Microservices Pipelines Power BI Python R Redshift Responsible AI Snowflake Spark Statistics

Perks/benefits: Career development Competitive pay Conferences Salary bonus Transparency

Region: North America
Country: United States

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