Data Scientist

hace 5 días

Tenochtitlán, 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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