Manager of Data Science
Company: Niagara Bottling
Location: Diamond Bar
Posted on: April 25, 2024
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Job Description:
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 ScienceAs 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 DescriptionModel Development:Drive large-scale,
data science projects that leverage data transformation and machine
learning modelsDevelop first-class Predictive Maintenance tools and
insights for customers by balancing the complexity of data,
coding/visualization platforms, and client demandsAutomate and
streamline projects to increase efficiencies and scalabilityDevelop
alternative procedures and processing to optimize data interactions
and drive new insightsContribute to storyboarding activities,
developing recommendations for an executive-level audience, and
producing leadership-quality deliverablesManage and review ad-hoc
automation or information product supportCollaboration: 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 sRequired:
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 educationPreferred:
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 educationPreferred Competencies and SkillsProficiency 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 outputsBasic 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 managementStrong analytical and problem-solving
skillsSelf-motivated with a proven record of taking initiativeAble
to work with minimal supervisionDetail-oriented with excellent oral
and written communication skillsAble to execute tasks in a very
dynamic and ever-changing environmentEducationMinimum Required:
Bachelor's Degree
in Computer/Industrial/Automation/Data Science Engineering or other
related fields or equivalent experiencePreferred:
Master's Degree
in Computer/Industrial/Automation/Data Science EngineeringTypical
Compensation RangePay Rate Type: Salary$128,287.00 - $186,016.00 /
YearlyBonus Target: 10%
AnnualBenefitshttps://careers.niagarawater.com/us/en/benefitsAny
employment agency, person or entity that submits a rsum into this
career site or to a hiring manager does so with the understanding
that the applicant's rsum 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 rsum to the designated Niagara
Bottling, LLC recruiter or, upon authorization, submit rsum into
this career site to be eligible for placement fees.Niagara Plant
NameCORP-MAIN
Keywords: Niagara Bottling, Covina , Manager of Data Science, Executive , Diamond Bar, California
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