11 часов назад
Director, Data Science & Optimization (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Science & Optimization (AI): Leading the development of scalable AI, machine learning, optimization, and analytics solutions for enterprise and supply chain initiatives with an accent on organizational leadership, model governance, and measurable business impact. Focus on building data science capabilities, deploying generative AI and predictive analytics, collaborating on AI-ready data foundations, and communicating recommendations to executive audiences.
Location: Fort Worth, Texas, United States
Company
is a global eye-care company developing innovative products and solutions to improve sight and patient outcomes.
What you will do
- Define and execute the data science roadmap aligned with enterprise priorities.
- Build, mentor, and develop a high-performing data science organization.
- Lead the design, development, deployment, and monitoring of AI, machine learning, optimization, and advanced analytics solutions.
- Drive AI initiatives primarily in supply chain, including generative AI, predictive analytics, decision science, and optimization capabilities.
- Establish model governance, validation, explainability, performance management, experimentation frameworks, and delivery methodologies.
- Partner with business, technology, data engineering, product, and executive stakeholders to define requirements, success metrics, and measurable business value.
Requirements
- Bachelor’s degree or equivalent directly related experience.
- 10 years of relevant experience in analytics, data science, machine learning, or AI.
- 6 years of demonstrated leadership experience, including leading high-performing analytics or data science teams.
- Fluent written and spoken English communication skills.
- Experience delivering enterprise-scale AI, machine learning, and advanced analytics solutions.
- Proficiency with Python, SQL, cloud-based analytics platforms, and modern machine learning frameworks.
Nice to have
- Experience with large language models, retrieval-augmented generation, and agentic AI solutions.
- Familiarity with MLOps, DevOps, and enterprise AI governance frameworks.
- Experience in healthcare, medical devices, pharmaceuticals, manufacturing, or supply chain environments.
- Master’s degree or PhD in data science, statistics, operations research, computer science, engineering, applied mathematics, or a related quantitative field.
- Strong stakeholder management, executive communication, and cross-functional initiative leadership skills.
Culture & Benefits
- Collaborative culture focused on accountability, innovation, and continuous improvement.
- Leadership development and opportunities to create enterprise impact.
- Health and life insurance benefits.
- Retirement benefits and flexible time off.
- Inclusive workplace committed to equal opportunity and reasonable accommodations.
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