Data Scientist
About The Position
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. EssilorLuxottica is a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses, offering a global platform of high-quality vision care products and iconic brands. Our Shared Services Team supports the EssilorLuxottica collective in achieving their targets. Join our global community of over 200,000 dedicated employees driving the transformation of the eyewear and eyecare industry.
Requirements
- 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
- Candidates must have authorization to work in the United States.
Nice To Haves
- 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
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
Benefits
- competitive bonus and/or commission plan
- health care
- retirement savings
- paid time off/vacation
- various employee discounts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
