EssilorLuxottica · 2 hours ago
Data Scientist
EssilorLuxottica is a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. The Applied Data Scientist role involves engaging with stakeholders to deliver end-to-end machine learning solutions, conducting applied research, and mentoring junior team members.
EyewearHealth CareProduct Design
Responsibilities
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
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
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
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Statistics, or related field
5+ years of relevant work experience
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
Preferred
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
Benefits
Health care
Retirement savings
Paid time off/vacation
Various employee discounts
Company
EssilorLuxottica
EssilorLuxottica is an ophthalmic company that specializes in the design, manufacture, and marketing of eyewear products.
Funding
Current Stage
Public CompanyTotal Funding
$6.89BKey Investors
Meta
2025-07-08Post Ipo Equity· $3.53B
2025-06-03Post Ipo Debt· $1.14B
2024-08-29Post Ipo Debt· $2.22B
Leadership Team
Recent News
2026-01-24
2026-01-24
Company data provided by crunchbase