Senior Data Scientist (Miguel Hidalgo) (Chihuahua)

Overview

The Data Science role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects.

Responsibilities

• Specifically develop ML solutions in support of ML/AI projects using big analytics toolsets in a CI/CD environment.
• Use DS tools, Spark, Databricks, and other technologies offered by Microsoft Azure or open‑source toolsets.
• Help automate the end‑to‑end cycle with Azure Machine Learning Services and Pipelines.
• Deliver statistical/ML models continuously as part of a collaborative interdisciplinary data team.
• Work closely with process owners, product owners and final business users.
• Deliver key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models.
• Collaborate with data engineers and ML engineers to understand data and models and leverage advanced analytics capabilities.
• Ensure on‑time and on‑budget delivery that satisfies project requirements while adhering to enterprise architecture standards.
• Use big data technologies to process data and build scaled data pipelines (batch to real‑time).
• Automate the end‑to‑end ML lifecycle with Azure Machine Learning and Azure Pipelines.
• Set up cloud alerts, monitors, dashboards, logging and troubleshoot machine learning infrastructure.
• Automate ML model deployments.

Qualifications

• 5+ years of overall experience, including at least 4+ years of hands‑on work experience in Data Science / Machine Learning.
• Minimum 4+ years of SQL experience.
• Minimum 2+ years of Python and Pyspark experience.
• Experience in DevOps and 2+ years in Machine Learning with hands‑on experience with one or more cloud service providers AWS, GCP, or Azure (preferred).
• BE/B.Tech in Computer Science, Maths, or related technical fields.
• Stakeholder engagement with BU, Vendors.

Benefits

• Opportunities to learn and develop every day through a wide range of programs.
• Internal digital platforms that promote self‑learning.
• Development programs according to Leadership skills.
• Specialized training according to the role.
• Learning experiences with internal and external providers.
• Recognition programs for seniority, behavior, leadership, moments of life, among others.
• Financial wellness programs that will help you reach your goals in all stages of life.
• A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
• Family benefits such as Wellness Line, thousand of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

EEO Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a workforce and innovation for the organization.

#J-*****-Ljbffr