Applied AI Data Scientist- Commercial Operations (Gen AI & Automation)

Alcon; Ciudad de México; Híbrido; MXN 1,235,000 - 1,766,000; Jornada completa

Descripción de la vacante

A leading healthcare firm in Mexico City is seeking an Applied AI Data Scientist to innovate AI-driven solutions within Commercial Operations. The successful candidate will work closely with stakeholders to design, build, and deploy intelligent automation tools. A strong background in data science, along with skills in AWS, SQL, and Python, is essential. This hybrid role offers significant growth potential with responsibilities that evolve to include mentoring as the AI capability expands. Join a forward-thinking team dedicated to improving operational efficiencies across the Americas.

Formación

• 3+ years in computer science, data science or related fields.
• Proven experience designing and deploying AI solutions.
• Experience collaborating with business stakeholders.

Responsabilidades

• Collaborate with stakeholders to identify AI opportunities.
• Design and build AI agents and workflows.
• Deploy AI solutions to production and manage performance.
• Translate technical progress for non-technical audiences.
• Contribute to documentation and governance for responsible AI.

Conocimientos

AWS Services

SQL

Python

Natural Language Processing

Communication skills

Problem-solving ability

Educación

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field

Herramientas

LLM-based systems

Descripción del empleo

Applied AI Data Scientist- Commercial Operations (Gen AI & Automation)

Mexico City, Hybrid

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your contributions and given the opportunity to grow your career through real impact, ownership, and exposure to complex business challenges across the Americas.

As an Applied AI Data Scientist supporting the Americas Commercial Operations team, you will play a key role in designing and deploying AI-driven solutions that improve how the business operates and makes decisions. This role is ideal for a hands‑on AI practitioner who wants to move beyond experimentation and into production‑grade AI, while growing toward greater technical influence and future leadership responsibility.

In this role, you will design, build, and deploy AI agents and intelligent automation solutions, starting with report automation and evolving toward AI‑powered decision‑support tools such as copilots and workflow orchestrators. You will partner closely with Commercial Operations stakeholders and internal Centers of Excellence to understand business needs, propose AI solutions, and take full ownership of delivery from development through production support.

While this position does not initially manage people, it offers strong growth potential. Over time, the role is expected to contribute to defining best practices for AI agent development within the organization and may evolve to include technical mentorship or team leadership as the AI capability scales.

Typical day responsibilities

• Collaborating with Commercial Operations and COE stakeholders to understand business problems and identify AI opportunities
• Designing and building AI agents and intelligent automation workflows, starting with report automation and evolving toward decision‑support copilots
• Deploying AI solutions to production and owning monitoring, performance, and drift detection
• Translating technical progress, limitations, and trade‑offs into clear insights for non‑technical audiences
• Contributing to documentation, governance, and responsible AI practices

Qualifications & Experience

• Education: Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, Economics, or a related field.
• Experience: 3+ years in computer science, data science or related field. Proven experience designing and deploying data‑driven or AI solutions beyond experimentation, including exposure to production environments. Experience working closely with business or operational stakeholders to translate needs into technical solutions.
• Technical Skills: AWS Services. Demonstrated experience building, deploying or maintaining data science projects. Experience with LLM‑based systems and agent frameworks. Familiarity with prompt design, orchestration patterns, and evaluation of generative system. Coding Languages: SQL, Python, and natural language processing. Data modeling and long‑term solution designs.
• Soft Skills: Communication skills and ability to explain technical concepts clearly. Problem‑solving ability. Strong attention to detail and collaboration. Comfort working in ambiguous problem spaces with evolving requirements.
• Preferred Qualifications: Interest in system‑level thinking and long‑term solution design. Experience in pharmaceutical industry, healthcare, or regulated industries. Familiarity with data governance frameworks and best practices. Exposure to broader AI or machine learning techniques beyond agents.

You’ll play a critical role in ensuring data accuracy and building scalable solutions that drive strategic decision across the Americas region. This is an opportunity to influence processes, improve operational efficiency, and contribute to a culture of data excellence.

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