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: 111,791.88 - 163,617.40
  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.
  Upon request and consistent with applicable laws, EssilorLuxottica will provide reasonable accommodations to individuals with disabilities who need assistance in the application and hiring process. To request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at 844-303-0229 (be sure to provide your name and contact information so that we may follow up in a timely manner) or email HRCompliance@luxotticaretail.com.
  We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, national origin, social origin, social condition, being perceived as a victim of domestic violence, sexual aggression or stalking, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status, marital status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave), genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law.

• 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.