Senior AI & Data Scientist - Global Supply Chain Solutions

Blue Yonder; Monterrey; Vor Ort; MXN 900.000 - 1.600.000; Vollzeit

Zusammenfassung

Blue Yonder in Monterrey is hiring a senior data scientist with a strong ML foundation to deliver predictive models and forecasting workflows. You will work hands-on with the platform and product teams, integrating data, building classifiers, and refining data pipelines for analytics across the supply chain.

The role requires deep knowledge of NLP/LLM, statistics and visualization, with collaboration across global stakeholders and flexible hours as needed.

Qualifikationen

• Solid ML knowledge with practical experience in classifiers and forecasting.
• Proficiency in Python, NumPy, Pandas and visualization tools.
• Experience with NLP, LLMs and neural networks.
• Experience with data science and supply chain concepts.
• Knowledge of OR concepts: integer/linear/stochastic programming.
• Familiarity with data viz tools like Streamlit and Power BI.
• Proficient SQL skills and Snowflake usage.
• Strong statistical analysis skills and hypothesis testing.

Aufgaben

• Select, build, and optimize classifiers using ML techniques.
• Conduct data mining with cutting-edge methods.
• Integrate third-party data to enhance datasets.
• Refine data collection procedures for analytics.
• Process, cleanse, and verify data integrity.
• Perform ad-hoc analysis and present results to stakeholders.
• Address forecasting issues and data quality, write forecasting checks.
• Build custom scripts using advanced ML/AI techniques.

Kenntnisse

ML algorithms

Python

SQL

Data visualization

Statistical analysis

NLP

LLM

Snowflake

Power BI

Streamlit

APIs & data integration

Dask

Airflow

Perl

Python scripting

SQL wrappers in Python

Tools

Python

SQL

Snowflake

Power BI

Streamlit

Postman

Airflow

Dask

Perl

Shell

Jobbeschreibung

Blue Yonder in Monterrey is hiring a senior data scientist with a strong ML foundation to deliver predictive models and forecasting workflows. You will work hands-on with the platform and product teams, integrating data, building classifiers, and refining data pipelines for analytics across the supply chain.

The role requires deep knowledge of NLP/LLM, statistics and visualization, with collaboration across global stakeholders and flexible hours as needed.