Senior Data Scientist

Atos SE; Ciudad de México; Presencial; MXN 736,000 - 1,105,000; Jornada completa

Descripción de la vacante

A global digital transformation leader is seeking a Senior Data Scientist in Mexico City, specializing in designing and deploying ML models. The ideal candidate will have over 8 years of data science experience, proficiency in Python, and expertise in generative AI. Responsibilities include developing scalable data pipelines and implementing MLOps best practices. This position offers an opportunity to collaborate with cross-functional teams while driving innovative solutions.

Formación

• 8+ years of experience in data science and advanced analytics.
• Hands-on experience with MLOps end-to-end.
• Proven experience in designing, developing, and deploying generative AI solutions.

Responsabilidades

• Design, develop, and deploy ML models such as predictive and time series models.
• Build and maintain scalable data pipelines on a hyperscaler (preferably GCP).
• Ensure scalability, security, and cost efficiency of AI/ML workloads.

Conocimientos

Python

MLOps

Generative AI

Statistical modeling

Cross-functional collaboration

Problem-solving

Educación

Master’s degree in statistics, Computer Science, or related field

Herramientas

TensorFlow

PyTorch

Descripción del empleo

Overview

Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. € 10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Job Description:

Responsibilities

• Senior Data Scientist: design, develop, and deploy ML models such as predictive models, time series forecasting models or survival models
• Build and maintain scalable data pipelines on a hyperscaler (preferably GCP)
• Implement MLOps best practices including CI/CD pipelines, monitoring, training/evaluation and model governance on a hyperscaler (preferably GCP)
• Use Gen AI and Agentic AI to build end-to-end custom solutions and implement them in a hyperscaler (preferably GCP)
• Ensure scalability, security, and cost efficiency of AI/ML workloads
• Collaborate with cross-functional teams across time zones to achieve the project goal and deliver solutions/products
• Work closely with the client to understand needs and meet expectations on requirements and deliverables
• Mention junior team members, brainstorm with them to scope and troubleshoot, and provide meaningful advice to address technical barriers

Qualifications

• A Master’s degree in statistics, Computer Science, Machine Learning, or a related field with a strong emphasis on generative AI
• 8+ years of experience in data science and advanced analytics
• Hands-on experience with MLOps end-to-end
• Proven experience in designing, developing, and deploying generative AI solutions
• Familiarity with Agentic AI Framework
• Proficiency in statistical modeling (i.e. regression, classification) and machine learning frameworks (e.g., TensorFlow, PyTorch)
• Strong programming skills in Python
• Excellent problem-solving skills and the ability to think creatively and strategically to overcome technical challenges within the Azure and OpenAI ecosystem
• Strong communication and collaboration skills to work effectively in a cross-functional team