Mid Level Data Scientist

hace 3 días

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

  • 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.

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