{"id":2591317,"url":"https://alion.io/job/essilorluxottica-data-scientist","title":"Data Scientist","company":{"id":1782239,"name":"EssilorLuxottica","domain":"essilorluxottica.com","url":"https://alion.io/company/essilorluxottica","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":198000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T02:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T10:59:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Requisition ID: 927619\nStore #: A00152 Tech Srvcs Wholesale DAL-T\nPosition: Full-Time\nTotal Rewards: Benefits/Incentive Information\nIf you’ve worn a pair of glasses, we’ve already met.\nWe 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.\nOur 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.\nJoin our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. This position is not available for visa sponsorship or transfer. Candidates must have authorization to work in the United States.Discover more by following us on LinkedIn!\nGENERAL FUNCTION\nThe 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.\nMAJOR DUTIES AND RESPONSIBILITIES\nManaging\nEngage with stakeholders to understand objectives, constraints, and success metrics\nDeliver end-to-end ML solutions from problem framing to production deployment\nConduct applied research to evaluate and prototype new AI/ML techniques\nPrioritize between research and delivery based on business impact\nManage model lifecycle: validation, monitoring, retraining, and optimization\nOrganizing\nTranslate ambiguous business problems into structured data science statements\nOrganize exploratory analysis, experimentation, and research frameworks\nStructure scalable ML pipelines for training, inference, and deployment\nDevelop proof-of-concepts to validate new AI techniques\nConvert insights and research outcomes into actionable recommendations\nLeading\nDrive solutions from research to production\nAct as a trusted analytics advisor through consultative problem-solving\nPromote adoption of ML solutions by communicating value and limitations\nEvaluate and adopt emerging AI/ML techniques\nMentor junior team members on research and delivery best practices\nBASIC QUALIFICATIONS\nBachelor’s degree in Computer Science, Data Science, Statistics, or related field\n5+ years of relevant work experience\nProven experience delivering ML solutions in production\nAbility to work independently with stakeholders and own delivery\nStrong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow, PyTorch)\nSolid understanding of statistical modeling, ML techniques, and data mining\nPREFERRED QUALIFICATIONS\nMaster’s or PhD in Data Science, Statistics, or related discipline\nExperience in applied research and rapid prototyping of AI/ML solutions\nExposure to advanced AI techniques (deep learning, generative AI, optimization)\nExperience deploying ML models using Docker, Kubernetes, or cloud-native services\nFamiliarity with Azure, Databricks, Spark, Synapse, and Lakehouse architecture\nStrong storytelling and communication skills for technical and non-technical audiences\nExperience in agile, fast-paced, cross-functional environments\nBalance research depth with delivery focus\nAbility to evaluate and apply new AI techniques pragmatically\nExcellent listening and problem-solving skills\nStrong ownership mindset with minimal supervision\nAbility to translate complex research into business value\nThis 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.\nEssilorLuxottica 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 .\nWe 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. 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