Data Scientist – Python Supply Chain

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 theres no limit to what we can achieve.

Are you a fit

Sounds exciting right Now lets make sure youre 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 teamsincluding Supply Chain Finance and Salesto 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 (35 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