Senior ML & Data Science Engineer

JDA Software; Monterrey; On-site; MXN 800,000 - 1,200,000; Full time

Job summary

Blue Yonder is leading AI-driven global supply chain solutions, enabling retailers, manufacturers, and logistics providers to optimize planning through delivery with a unified platform. We seek an astute data science professional with hands-on engineering experience to implement ML/AI solutions within our platform and product teams.

The role involves building classifiers, data integration, and forecasting quality improvements, leveraging Python, ML libraries, and SQL.

Qualifications

• 10+ years of relevant experience.
• Solid understanding of ML algorithms (e.g., Linear Regression, K-Means, Naive Bayes).
• Proficiency in Python and data-science toolkits (NumPy, Pandas, Matplotlib, Seaborn).
• Experience with LLM, NLP techniques and Neural networks.
• Familiarity with SQL and Snowflake; data visualization in Streamlit/Power BI.

Responsibilities

• Select, build, and optimize classifiers using advanced machine learning techniques.
• Conduct data mining using cutting-edge methods and tools.
• Integrate third-party data sources to enhance datasets.
• Refine data collection procedures for analytic systems.
• Process, cleanse, and verify data integrity for analysis.
• Perform ad-hoc analysis and present results to stakeholders.
• Address forecasting issues and write forecasting-check codes.
• Build custom scripts and logic using advanced ML/AI techniques.

Skills

Machine learning

Python

NumPy

Pandas

Matplotlib

Seaborn

LLM

NLP

Neural networks

SQL

Snowflake

Data visualization

Streamlit

Power BI

Statistical analysis

Operations research

Data mining

Tools

Airflow

Dask

Postman/API integration

Control‑M

Perl

Shell

Python scripting

Job description

Blue Yonder is leading AI-driven global supply chain solutions, enabling retailers, manufacturers, and logistics providers to optimize planning through delivery with a unified platform. We seek an astute data science professional with hands-on engineering experience to implement ML/AI solutions within our platform and product teams.

The role involves building classifiers, data integration, and forecasting quality improvements, leveraging Python, ML libraries, and SQL.