Data Scientist – Python - Supply Chain

at WIZELINE

Mexico

Data Scientist – Python - Supply Chain (Hybrid, Mexico City)

Location: Mexico City, Mexico – Hybrid (3 days onsite, 2 days remote)

We are:

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Are you a fit?

Sounds exciting, right? Now, let’s make sure you’re a good match for this role:

Key Responsibilities

Build end-to-end data science solutions, from data exploration and feature engineering to model development, validation, and deployment.
Analyze large-scale datasets and develop advanced analytical models to support forecasting, inventory optimization, resource allocation, and logistics planning.
Translate complex business questions across sales, operations, logistics, and supply chain into actionable quantitative insights.
Design, implement, and optimize ML pipelines using Azure Databricks and other modern data platforms.
Collaborate closely with cross-functional teams—including Supply Chain, Finance, and Sales—to deliver insights and data-driven recommendations.
Validate hypotheses, identify patterns, and develop analytical solutions that enhance supply chain performance and key metrics.
Communicate clearly with non-technical stakeholders, explaining models, assumptions, and outcomes in a simple, business-friendly way.
Document workflows, share knowledge with the analytics team, and contribute to continuous improvement of tools, methodology, and data quality.

Must-have Skills (3–5+ years of experience)

Strong hands-on experience in Data Science, Analytics Engineering, or similar analytical roles.
Proficiency in Python, SQL, and ML/analytics libraries such as Pandas, PySpark, Scikit-learn, MLflow.
Experience working with large datasets and building pipelines in Azure Databricks or similar cloud environments.
Solid understanding of statistical modeling, time series forecasting, clustering, optimization, or simulation.
Experience solving supply-chain-related problems such as demand forecasting, inventory optimization, or route planning (nice-to-have but highly valued).
Ability to translate business needs into quantitative models and insights.
Proven experience managing projects end-to-end with strong ownership and autonomy.
Strong analytical mindset and comfort working with ambiguity in complex problem spaces.
Excellent communication skills to present insights to non-technical stakeholders.
Ability to work in dynamic environments with shifting priorities and multiple simultaneous projects.

Nice-to-have

Experience in the consumer goods, logistics, manufacturing, or supply chain domains.
Familiarity with optimization techniques (linear programming, OR), simulation tools, or advanced forecasting methodologies.
Experience designing analytics solutions that integrate with operational systems.
Curiosity-driven mindset with interest in experimentation, research, and continuous learning.
Experience collaborating with multidisciplinary teams (Supply, Ops, Finance, Sales).

AI Tooling Proficiency

Leverage one or more AI tools to optimize and augment day-to-day work, including research, documentation, data exploration, and model experimentation. Provide recommendations on effective AI use and identify opportunities to streamline analytical workflows.

What we offer

A High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards

Specific benefits are determined by employment type and location.

Find out more about our culture here