Requisition ID: 951409
Position:Full-Time
Shift:
Total Rewards: Benefits/Incentive InformationJOB DESCRIPTIONGENERAL FUNCTION This role provides first class machine learning and strategic input to projects and ongoing operations; leads critical thinking and strategic planning for design, implements and directs AI/ML initiatives and able to get business more efficient with the Digital Strategy. This role is also responsible for maintaining, supporting, and upgrading reports, dashboards in Manufacturing.
MAJOR DUTIES AND RESPONSIBILITIES- Research and evaluate new technologies on data visualization, machine learning, modeling in collaboration with experts
- Develop and implement databases, data collection systems, data analytics with the automation digitalization team that optimize efficiency and quality of the results
- Directly manage a team of Business Analyst, Data Scientists, Data Engineers
- Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights with an innovation approach
- Support and partner on implementing the BI strategy
- Developing A/B testing frameworks with machine learning techniques
- Completes experiments, tests hypothesis, performs data mining and builds models to solve highly complex business problems; applies advanced statistical and predictive modeling techniques to improve on decision support systems
- Identify and implement applications/processes that could benefit from AI/ML
- Use data to constantly challenge and reshape our current understanding of business behavior and performance.
- Develop data structures to support the reporting requirements.
- Maintain expert knowledge of Department applications and interfaces between applications, reporting processes and data capture.
- Ensure accuracy in dashboarding and reporting
- Actively participate in business unit projects and/or initiatives as assigned.
BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, Physical sciences, Statistics, Operations Research, Applied Mathematics and Statistics, Or related discipline.
- 5+ years working in IT with a thorough understanding of SDLC and Agile development methodology
- 5+ years of experience in Business Intelligence and Data Science (data mining, Machine Learning, PLS, PCA), Data architect, data engineering and Big Data
- 3+ years of experience as BI reporting and visualization engineer, Business Objects and Tableau Administration
- Experience working in a manufacturing environment
- Proficient with one or more programming languages (SQL, Java, C++, Python, R) and, in Data Analytics (DOE, Statistics, Math, probability, test plans, algorithms..) and robustness process improvement approaches (SPC, Taguchi, multifactorial analysis)
- Demonstrated experience applying data science methods to real-world data problems
- Ability to work within and lead cross-functional team environments (local and global)
- Excellent communication (verbal and written), organizational, critical thinking, complex problem solving
- Ability to quickly translate requirements to prototype and get business buy- in
- Proficiency with use of Microsoft Office
- Creative and an outside-the-box mindset.
PREFERRED QUALIFICATIONS- Bilingual (Spanish)
- Azure Certification
- DevOps
- Grafana Dashboarding
- Smart Sheets
Pay Range: 108,009.15 - 157,468.93
This posting is for an existing vacancy within our business. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts.
