Data Scientist

Location: San Lorenzo Tenochtitlán

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:

Key Responsibilities
Own end-to-end development of predictive and forecasting models.
Lead analyses including segmentation, clustering, churn prediction, attribution, linear optimization, or NLP.
Apply advanced statistical modeling and feature engineering techniques.
Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks.
Standardize analytical templates, reusable code, and experimentation frameworks.
Present insights and models to business partners with clear narrative and action steps.
Must-have Skills
Bachelor's required;
Master's preferred in STEM
3+ years in data science, analytics, or applied ML.
Strong Python + SQL expertise.

Experience with Spark and Databricks for scalable data processing.
Clear understanding of linear regression and clustering techniques
- Familiarity with cloud ML services like Azure ML.
Experience applying MLflow or similar experiment-tracking tools.
Strong understanding of experimentation, A/B testing, and validation methods.
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 deep learning or modern NLP stacks (Transformers, spaCy).
Familiarity with CI/CD concepts or basic MLOps practices.
Industry experience in forecasting, operations, or customer analytics.

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.