Data Scientist

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

Senior Data Scientist - Key Requirements

• 5-8 years of hands-on experience in data science, with a strong track record of delivering production-grade solutions in business environments.
• Deep expertise in traditional machine learning techniques, including time series forecasting (e.g., ARIMA, SARIMA), regression models, and other statistical methods applied to real-world datasets.
• Proven experience designing and implementing optimization models (e.g., linear programming, mixed-integer programming, heuristics) to solve complex business problems such as demand planning, inventory optimization, or resource allocation.
• Recent, demonstrable experience working on Generative AI initiatives, including LLM-based solutions and agentic workflows (e.g., autonomous agents, multi-step reasoning pipelines, tool-augmented AI systems).
• Hands-on experience in designing, deploying, and operationalizing agentic workflows in production environments, including orchestration, tool integration, monitoring, and performance optimization of AI-driven agents.
• Strong domain knowledge in Consumer-Packaged Goods (CPG), with hands-on experience in at least one functional area: Sales (e.g., demand forecasting, pricing), Finance (e.g., revenue/margin analytics), or Supply Chain (e.g., planning, logistics, inventory).
• Ability to translate business problems into scalable analytical and AI-driven solutions, partnering closely with cross-functional stakeholders such as product managers, engineers, and business teams.
• 100% hands-on role with active involvement in data exploration, model development, evaluation, deployment, and continuous improvement.
• Proficiency in Python and relevant data science ecosystems (e.g., pandas, scikit-learn, statsmodels, PyTorch/TensorFlow), along with experience in cloud platforms and MLOps practices.