Data Scientist

Data Scientist – Supply Chain Industry

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 awesome, right? Now, let's make sure you're a good fit for the role:

We are looking for a Data Scientist with a strong background in advanced analytics and a passion for solving complex supply chain problems. In this role, you will work on high-impact initiatives involving demand forecasting, inventory optimization, and logistics analytics. You will partner closely with business and operations teams to transform data into actionable insights that improve end-to-end supply chain performance.

Location & Work Model

- Location: Mexico City (CDMX)
- Office: Santa Fe, Cuajimalpa
- Work model: Hybrid — 1 day per week onsite / 4 days remote

Key Responsibilities

- Apply advanced analytics, statistical modeling, and machine learning to solve complex supply chain problems such as demand forecasting, inventory optimization, resource allocation, and logistics network analysis.
- Design, develop, and maintain end-to-end data science solutions, from data exploration and feature engineering to model deployment and monitoring.
- Build and optimize data pipelines and analytical workflows using Azure Databricks and large-scale datasets.
- Translate business questions from sales, logistics, and operations teams into quantitative, actionable analyses.
- Validate hypotheses, identify patterns, and design data-driven solutions that improve key supply chain KPIs.
- Collaborate closely with Supply Chain, Finance, and Sales teams to align analytical solutions with business objectives.
- Document analytical processes, models, and assumptions, and share knowledge with the analytics team.
- Continuously evaluate data quality, analytical processes, and tooling, proposing improvements where needed.

Must-have Skills (Remember to include years of experience)

- Bachelor's Degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or a related field.
- 3–5+ years of experience in Data Science, Analytics Engineering, or similar roles.
- Strong proficiency in Python and SQL, including experience with data science and ML libraries such as Pandas, PySpark, Scikit-learn, and MLflow.
- Hands-on experience working with large-scale datasets and pipelines in Azure Databricks.
- Solid understanding of statistical modeling, time series analysis, clustering, optimization, or simulation techniques.
- Experience applying analytics to real-world business problems in demand planning, inventory management, logistics, or routing is a strong plus.
- Ability to work autonomously, owning projects end-to-end and making informed decisions with minimal supervision.
- Strong analytical and problem-solving skills, with the ability to operate in environments with high uncertainty.
- Excellent communication skills, capable of explaining models, assumptions, and results to non-technical stakeholders.
- English level: Advanced / Fluent (spoken and written).

Nice-to-have:

- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
- Experience with advanced forecasting methodologies, operations research (OR), or simulation techniques applied to supply chain problems.
- Familiarity with optimization solvers or libraries.
- Exposure to cloud-based data architectures beyond Azure (e.g., AWS, GCP).

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 the employment type and location.

Find out more about our culture here.