Oakley - Data Scientist Job at Oakley
Date: Mar 17, 2023
Brand: Oakley
Location: Foothill Ranch, CA, US, 92610
Requisition ID: 796040
Position:Full-Time
Shift:
Total Rewards: Benefits/Incentive Information
Position:Full-Time
Shift:
Total Rewards: Benefits/Incentive Information
Oakley, Inc. is a sport and lifestyle brand, driven to ignite the imagination through the fusion of art and science. Building on its legacy of innovative, market-leading optical technology, the company manufactures and distributes high performance sunglasses, prescription lenses and frames, goggles, apparel, footwear, and accessories.
The essence of the brand is communicated through hundreds of professional and amateur athletes who depend on Oakley products to provide them with the very best while they redefine what is physically possible.
Oakley is part of Luxottica, a global leader in the design, manufacture and distribution of fashion, luxury and sports eyewear. Our wholesale network covers more than 150 countries and our retail presence consists of over 9,100 retail stores across the globe.
In North America, our wholesale business is the home to other global brands like Ray-Ban and many of the top fashion house brands. Our leading retail brands include; LensCrafters, Sunglass Hut, Pearle Vision, and Target Optical. We are also home to EyeMed, the fastest growing vision care company in the United States.
GENERAL FUNCTION
Oakley’s Data Scientist (DS) is a highly motivated and results-oriented analytical expert who plays a critical role in developing the Company’s data storage infrastructure. The DS creates automated workflows, develops algorithms for complex problem-solving, and makes key predictions that offer important insight to the business.
MAJOR DUTIES AND RESPONSIBILITIES
- Researches and evaluates new technologies on data visualization, machine learning, modeling in collaboration with experts
- Develops and implements databases, data collection systems, data analytics with the automation digitalization team that optimize efficiency and quality of the results
- Develops custom models, algorithms, and interactive visualizations to deliver Supply Chain insights with an innovation approach
- Develops A/B testing frameworks with machine learning (ML) 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 build, maintain, and improve on decision support systems
- Assesses and advises on ML opportunities of new product feature work
- Identifies applications/processes that could benefit from AI/ML and implement those technologies
- Uses data to constantly challenge and reshape our current understanding of business behavior and performance
- Identifies existing models needing to be recalibrated or retrained
- Leverages expertise to proactively recommend key technical solutions to complex problems
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Physical sciences, Statistics, Operations Research, Applied Mathematics and Statistics
- 3+ years of experience, in a computational science discipline with an emphasis on Machine Learning or Data Mining
- Expert in Data Science (data mining, Machine Learning, PLS, PCA…)
- Proficient with one or more programming languages (SQL, Java, C++, Python, R)
- Proficienct knowledge in Data Analytics (DOE, Statistics, Math, probability, test plans, algorithms..) and robust process improvement approaches (SPC, taguchi, multifactorial analysis
- Creative on technology architecture
- Experience applying data science methods to real-world data problems
- Experience utilizing visualization tools to take advantage of the growing volume of available information
- Ability to work within and lead cross-functional team environments (local and global)
- Excellent communication (verbal and written), organizational, critical thinking, complex problem solving and analytical skills
- High intellectual curiosity to learn and understand business needs
PREFERRED QUALIFICATIONS
- Microsoft Azure / DevOps
Upon request and consistent with applicable laws, Luxottica 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 Luxottica Ethics Compliance Hotline at 1-888-887-3348 (be sure to provide your name and contact information so that we may follow up in a timely manner).
EssilorLuxottica is
an Equal Opportunity Employer and provides opportunities for all qualified applicants without regard to race, color, gender, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status. Native Americans receive preference in accordance with Tribal Law.
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