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React Developer For Training Ai Data Jobs in Springboro, OH

EssilorLuxottica

Data Scientist

Mason, OH · On-site

... for training, inference, and deployment * Develop proof-of-concepts to validate new AI techniques ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...

Essilor

Data Scientist

Mason, OH

... for training, inference, and deployment * Develop proof-of-concepts to validate new AI techniques ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...

Istari Digital

Forward Deployed Engineer

Dayton, OH · On-site

$143K - $165K/yr

... training AI and autonomy for complex systems. Focus is rewarded. Finish is remembered. Facts are ... If you would like more information about how your data is processed, please contact us.

Tari Labs, LLC.

Forward Deployed Engineer

Dayton, OH · On-site

$143 - $165/hr

Embed with customer engineering teams to understand their workflows, data environments, and ... training AI and autonomy for complex systems. Focus is rewarded. Finish is remembered. Facts are ...

Booz Allen Hamilton

Platform DevOps Engineer

Dayton, OH · On-site

$62K - $141K/yr

Work with us to develop systems that create change for the better. Join us. The world can't wait ... Experience with Node.js or React * Experience with containerization using Docker or Kubernetes

GRVTY

Data Science - Senior

Dayton, OH

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

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How much do react developer for training ai data jobs pay per year?

As of Sep 5, 2026, the average yearly pay for react developer for training ai data in Springboro, OH is $98,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $114,600.00 per year, depending on experience, location, and employer.

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Data Scientist

EssilorLuxottica

Mason, OH • On-site

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Engage with stakeholders to understand objectives, constraints, and success metrics

  • Deliver end-to-end ML solutions from problem framing to production deployment

  • Manage model lifecycle: validation, monitoring, retraining, and optimization

EssilorLuxottica rating

7.1

Company rating: 7.1 out of 10

Based on 299 frontline employees who took The Breakroom Quiz

9th of 40 rated optical retailers

Job description

Requisition ID: 934434 Store #: A00090 Wholesale TA CSCLX
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
Managing
  • 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

Organizing
  • 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

Leading
  • 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

BASIC QUALIFICATIONS
  • 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
  • This position is not available for visa sponsorship or transfer. Candidates must have authorization to work in the United States

PREFERRED QUALIFICATIONS
  • 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

This 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.
EssilorLuxottica 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 HRCompliance@luxotticaretail.com.
We 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. Native Americans in the US receive preference in accordance with Tribal Law.

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