Mid Senior Data Scientist

hace 2 horas


Ciudad de México, Ciudad de México WIZELINE A tiempo completo

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 

  • 3+ years in data science, analytics, or applied ML.
  • Bachelor's in Data Science, Statistics, Engineering, Computer Science, or related fields.
  • Strong Python + SQL expertise.
  • Familiarity with cloud ML services like Azure ML.
  • Experience with Spark and Databricks for scalable data processing.
  • Experience applying MLflow or similar experiment-tracking tools.
  • Strong analytical mindset and eagerness to learn.

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.


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