Data Scientist
EssilorLuxottica
Dallas, TX, US
Onsite
2026-07-01
Estimated salary · Dallas
~ $83,721 - $145,421
Low
$83K
Median
$110K
High
$145K
Market in Dallas · BLS OEWS 2025
Estimated net pay
$5,644 - $9,222
/month · 19% withheld
after tax & contributions · on the estimated salary · Single, no dependents
Job description
**Requisition I****D:** 934433
**Store \#:** A00152 Tech Srvcs Wholesale DAL\-T
**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*