Data Scientist en Deloitte Americas Delivery Mexico

Work you’ll do/Responsibilities As a Consultant at Deloitte, you will work within an engagement team and be responsible for supporting the overall project goals and objectives. In this role, you will interact with stakeholders and cross-functional teams. It is expected that you will be able to perform independent tasks as well as provide technical guidance to team members, as needed. 

 • Supports analytical and modeling work under the guidance of senior data scientists. Learns statistical fundamentals, data preparation techniques, and model evaluation practices while delivering on well-defined analytical tasks. 

• Prepares, cleans, and transforms datasets for analysis and model development. 

• Implements descriptive and exploratory analysis using Python and relevant libraries (pandas, NumPy, matplotlib). 

• Trains and evaluates baseline ML models using established frameworks (scikit-learn, XGBoost). 

• Builds and maintains dashboards and visualizations to communicate analytical findings. 

• Supports cloud-based model deployment and monitoring under senior guidance. 

• Documents experiments, assumptions, and findings in a reproducible format.

Qualifications Required • 3-5 years of consulting and/or industry experience 

• Completion of course of study/Egresado in Computer Science/IT/Computer Engineering, or any pertinent field or industry, or equivalent years of experience. 

• Advanced English level 

• Python Proficient; writes modular, production-ready code; builds reusable ML pipelines; applies testing best practices (pytest). 

• BI / Analytics: Proficient in BI tools (Power BI, Tableau, Looker); designs semantic layers; builds self-service reporting assets; strong SQL skills. 

• Cloud AI (AWS/GCP/Azure): Proficient on at least one cloud AI platform; designs MLOps pipelines (training, registry, serving, monitoring); familiar with managed AI services. 

• ML / Modeling: Strong hands-on experience with tree-based models, neural networks, NLP, or time-series; implements hyperparameter tuning and cross-validation rigorously. 

• Statistics: Applied experience with regression analysis, Bayesian methods, hypothesis testing, and causal inference techniques. Applicants must be legally authorized to work in Mexico at the time of hire; limited sponsorship may be available for this role based on business needs and applicable law.

 Preferred 

 • DevOps / CI-CD Familiar with Git workflows and basic CI/CD for model code; understands containerization (Docker) for model packaging.