Data Scientist

EssilorLuxottica Group•Mason, OH

6d•Onsite

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. 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! 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.

Requirements

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
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