Employment Information
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.
Manager of Data Science
As a Data Science Manager, you will develop, design, implement, and deliver the primary data science and analytical product for all aspects of Machine Maintenance. The Data Science manager will create novel data science solutions for predictive maintenance. You will perform data wrangling, exploratory, descriptive, predictive, and prescriptive analysis, and visualization on both a recurring and ad hoc basis, in support of the Projects Manager and the Maintenance user base. The Data Science Manager will identify new opportunities for intelligent process automation, analyses, KPIs, visualizations, reports, and dashboards by aligning the requests from the organization for insight with the larger strategic objectives outlined by leadership.
Detailed Description
- Model Development:
- Drive large-scale, data science projects that leverage data transformation and machine learning models
- Develop first-class Predictive Maintenance tools and insights for customers by balancing the complexity of data, coding/visualization platforms, and client demands
- Automate and streamline projects to increase efficiencies and scalability
- Develop alternative procedures and processing to optimize data interactions and drive new insights
- Contribute to storyboarding activities, developing recommendations for an executive-level audience, and producing leadership-quality deliverables
- Manage and review ad-hoc automation or information product support
- Collaboration: Work closely with project management teams and IT professionals to identify opportunities for AI to automate and enhance various aspects of project management.
- Documentation: Document project requirements, methodologies, and outcomes. Prepare technical reports, presentations, and user guides to effectively communicate AI/ML solutions to stakeholders.
- Research and Innovation: Stay updated with the latest advancements in AI/ML technologies, tools, and methodologies. Conduct research and experiments to explore new approaches and improve existing models.
- Ethical and Legal Considerations: Ensure compliance with ethical standards and legal requirements when dealing with sensitive data, privacy concerns, and potential biases in AI/ML models.
- Training and Knowledge Sharing: Share your expertise in AI/ML and insights with colleagues, stakeholders, and team members. Conduct training sessions or workshops to facilitate a better understanding and effective utilization of machine learning programs and libraries.
- Please note that 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.
- estimated to travel 10-20%
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:
- ​​5-7 years​ – Experience in Python, R or another Programming language
- ​​5-7 years​ – Experience with TensorFlow, PyTorch, or scikit-learn
- ​​3-5 years​ – Experience in Industrial ML/Automation/Data Science or other related fields ​- ​3-5 years​ – Experience with cloud computing platforms such as AWS, Azure, or GCP ​- ​2-4 years​ – Experience with natural language processing (NLP) ​​- 3-5 years​ – Experience with Deep Learning, Computer Vision, Reinforcement learning ​​- 2-4 years​ – Experience with ethical considerations in machine learning
*Experience may include a combination of work experience and education
Preferred:
- ​​7-10 years​ – Experience in Python, R or another Programming language
- ​​7-10 years​ – Experience with TensorFlow, PyTorch, or scikit-learn
- ​​5-7 years​ – Experience in Industrial ML/Automation/Data Science or other related fields
- ​​5-7 years​ – Experience with cloud computing platforms such as AWS, Azure, or GCP
- ​​3-5 years​ – Experience with natural language processing (NLP)
- ​​5-7 years​ – Experience with Deep learning, Computer Vision, Reinforcement learning
- ​​3-5 years​ – Experience with ethical considerations in machine learning *Experience may include a combination of work experience and education
Preferred Competencies and Skills
- Proficiency in Azure ML Studio and related tools for model development, deployment, and monitoring.
- Proficiency in using query languages such as SQL, Hive, Pig. Etc.
- Proficiency in, but not limited to:
- Microsoft Office Applications – Word, Excel, PowerPoint, Outlook, Project, Visio, etc.
- Proficiency in applied statistical skills, such as distributions, statistical testing, regression, 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#
- Basic understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY, BnR, Edge data Management, etc.
- Basic understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Preferred experience with common data science toolkits, such as R, Weka, and Python with a focus on NumPy, Matplotlib and Pandas, MATLAB, etc.
- Able to translate data into recommendable 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
Typical Compensation Range
Pay Rate Type: Salary $128,287.00 - $186,016.00 / Yearly
Bonus Target: 10% Annual
Benefits
https://careers.niagarawater.com/us/en/benefits
Any employment agency, person or entity that submits a rĂ©sumĂ© into this career site or to a hiring manager does so with the understanding that the applicant’s rĂ©sumĂ© 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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