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Full-time
bachelor degree, postgraduate degree
Health Care, Retirement Savings, Paid Time Off, Vacation, Employee Discounts, Bonus
Posted 16d ago
~40 hrs/week
Responsibilities
The Applied Data Scientist is responsible for the end-to-end delivery of AI research and machine learning solutions to solve business challenges. This includes engaging stakeholders, prototyping new AI techniques, and deploying production-ready models that drive measurable value.
Requirements
Candidates must have a Bachelor's degree in a quantitative field and proven experience delivering production-level ML solutions. Proficiency in Python or R and familiarity with cloud-native services like Azure or Databricks is highly preferred.
Full job description
Requisition ID: 934434 Store #: A00090 Wholesale TA CSCLX Position: Full-Time Total Rewards: Benefits/Incentive Information
If you’ve worn a pair of glasses, we’ve already met.
We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms.
Our portfolio of more than 150 renowned brands span various categories, from frames, lenses and instruments to brick and mortar and digital distribution as well as mid-range to premium segments. Our Shared Services Team, accompany and enable others within the EssilorLuxottica collective to achieve their targets. They keep people and projects running smoothly, ensuring every part of our business is provided for and well taken care of.
Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!
GENERAL FUNCTION
The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging stakeholders, translating business challenges into ML solutions, researching emerging AI techniques, and delivering production-ready models that drive measurable business value. It balances innovation with execution, ensuring outcomes are practical, scalable, and aligned to business needs.
MAJOR DUTIES AND RESPONSIBILITIES
Managing
Engage with stakeholders to understand objectives, constraints, and success metrics
Deliver end-to-end ML solutions from problem framing to production deployment
Conduct applied research to evaluate and prototype new AI/ML techniques
Prioritize between research and delivery based on business impact
Manage model lifecycle: validation, monitoring, retraining, and optimization
Organizing
Translate ambiguous business problems into structured data science statements
Organize exploratory analysis, experimentation, and research frameworks
Structure scalable ML pipelines for training, inference, and deployment
Develop proof-of-concepts to validate new AI techniques
Convert insights and research outcomes into actionable recommendations
Leading
Drive solutions from research to production
Act as a trusted analytics advisor through consultative problem-solving
Promote adoption of ML solutions by communicating value and limitations
Evaluate and adopt emerging AI/ML techniques
Mentor junior team members on research and delivery best practices
BASIC QUALIFICATIONS
Bachelor’s degree in Computer Science, Data Science, Statistics, or related field
Proven experience delivering ML solutions in production
Ability to work independently with stakeholders and own delivery
Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow, PyTorch)
Solid understanding of statistical modeling, ML techniques, and data mining
This position is not available for visa sponsorship or transfer. Candidates must have authorization to work in the United States
PREFERRED QUALIFICATIONS
Master’s or PhD in Data Science, Statistics, or related discipline
Experience in applied research and rapid prototyping of AI/ML solutions
Exposure to advanced AI techniques (deep learning, generative AI, optimization)
Experience deploying ML models using Docker, Kubernetes, or cloud-native services
Familiarity with Azure, Databricks, Spark, Synapse, and Lakehouse architecture
Strong storytelling and communication skills for technical and non-technical audiences
Experience in agile, fast-paced, cross-functional environments
Balance research depth with delivery focus
Ability to evaluate and apply new AI techniques pragmatically
Excellent listening and problem-solving skills
Strong ownership mindset with minimal supervision
Ability to translate complex research into business value
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.
EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting, or if you are an individual with a disability who would like to request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at 844-303-0229 (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email [email protected].
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.
We are EssilorLuxottica, a global leader in the design, manufacture and distribution of advanced vision care products, eyewear and med-tech solutions. Our Mission is to help people around the world to see more and be more by addressing their evolving vision needs, personal style aspirations and desire to feel more connected to the world around them.
We are home to the most innovative lens technologies, including Varilux, Stellest and Transitions, iconic brands such as Ray-Ban, Oakley and Supreme, the most desired luxury licensed brands and world-class retailers including Sunglass Hut, LensCrafters, Vision Express and Apollo. Backed by robust R&D investments, distinctive capabilities and a top-quality asset portfolio, we drive innovation across categories, from cutting edge medical instruments and solutions for eye health to category-defining smart glasses, all of which push the boundaries of the industry and reimagine the eyes as a gateway to new possibilities.
With over 200,000 employees across 150 countries, 600 operations facilities, serving 300,000 eye care professionals and operating 18,000 stores, the Group generated consolidated revenue of Euro 26.5 billion in 2024. Our OneSight EssilorLuxottica Foundation has given access to sustainable vision care to nearly 1 billion people in underserved communities.
Our ambition is clear. We are building a platform where the eyes are the gateway to new possibilities – bridging the gap between the digital world and human experience.
At EssilorLuxottica, we are Empowering Humans.
Offices: 1-6, Rue Paul Cézanne, Paris, FR · Piazzale Luigi Cadorna, 3, Milan, IT