Senior Data Scientist: AI & Optimization for CPG

Entellux; Mexico; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Entellux is seeking a Senior Data Scientist to lead production-grade data science initiatives across CPG domains. You will own end-to-end model development—from data exploration and feature engineering to evaluation, deployment, and continuous improvement—while applying time series forecasting, optimization, and generative AI techniques.

The role demands hands-on leadership in building scalable analytics and AI-driven solutions in collaboration with product, engineers, and business teams.

Qualifications

• 5-8 years of hands-on data science experience in business environments.
• Deep expertise in ML techniques including time series forecasting and statistical methods.
• Experience designing optimization models (linear programming, MILP) for business problems.
• Recent demonstrable work on Generative AI initiatives and agentic workflows.
• Hands-on role with data exploration, model development, deployment and continuous improvement.
• Strong CPG domain knowledge in Sales, Finance, or Supply Chain.
• Translate business problems into scalable AI-driven solutions with cross-functional teams.

Responsibilities

• Hands-on role with data exploration, model development, evaluation, deployment, and continuous improvement.
• Collaborate with product managers, engineers and business teams to translate problems into AI solutions.
• Design, deploy, and monitor agentic AI workflows and services in production.

Skills

Generative AI experience

Time series forecasting

Optimization modeling

Cross-functional collaboration

Python programming

Tools

Python

pandas

scikit-learn

statsmodels

PyTorch/TensorFlow

Cloud platforms

MLOps

Job description

Entellux is seeking a Senior Data Scientist to lead production-grade data science initiatives across CPG domains. You will own end-to-end model development—from data exploration and feature engineering to evaluation, deployment, and continuous improvement—while applying time series forecasting, optimization, and generative AI techniques.

The role demands hands-on leadership in building scalable analytics and AI-driven solutions in collaboration with product, engineers, and business teams.