Senior Data Scientist
Contractor · Remote in Mexico · Full-time · 3-month project (potential extension)

About the Role
We are looking for a Senior Data Scientist to join a high-impact team focused on solving complex business challenges through advanced analytics, machine learning, optimization, and Generative AI. This is a highly hands-on role where you will design, develop, deploy, and continuously improve production-grade AI and data science solutions while collaborating closely with cross-functional teams.
This is an initial 3-month contract with a strong renewal track record.

Responsibilities
Develop machine learning models for forecasting, regression, and statistical analysis.
Build optimization models for business use cases such as demand planning, inventory optimization, and resource allocation.
Design and deploy LLM-powered solutions and AI agents in production environments.
Orchestrate agentic workflows with tool integration, monitoring, and performance optimization.
Apply cloud and MLOps practices to deploy, manage, and continuously improve AI solutions at scale.




Tech Stack
Python
pandas
scikit-learn
statsmodels
PyTorch and/or TensorFlow
Cloud platforms
MLOps practices
Large Language Models (LLMs)
Agentic AI workflows
What We're Looking For
8 years of hands-on experience in Data Science, delivering production-grade solutions in business environments.
Strong expertise in traditional machine learning techniques, including time series forecasting (ARIMA, SARIMA), regression models, and statistical methods.
Proven experience designing and implementing optimization models, including linear programming, mixed-integer programming, and heuristics.
Recent hands-on experience with Generative AI initiatives, including LLM-based solutions and agentic workflows.
Experience designing, deploying, and operationalizing AI agents in production environments.
Strong domain experience within the Consumer Packaged Goods (CPG) industry, specifically in Sales, Finance, or Suppl

📌 Senior Data Scientist (México)
🏢 Golabs Tech
📍 México