# Data Scientist at WIZELINE

> Mexico · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Awizeline%3A8265817 (read 2026-11-08).

## Facts (observed)

- Company: [WIZELINE](https://alderhq.app/companies/wizeline)
- Location text: Mexico; Mexico
- Where it can be done from (inferred): Mexico (evidence: "Location: Mexico; Mexico")
- Posted: 2026-10-08 (31 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.wizeline.ai/careers/job?gh_jid=8265817
- Skills listed (inferred): Python, Azure, Spark, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Data Scientist

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. As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.

### Key Responsibilities

- Own the end-to-end development of predictive and forecasting models, applying advanced statistical and feature engineering techniques.
- Lead complex analyses, including segmentation, clustering, churn prediction, linear optimization, and NLP.
- Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks.
- Standardize analytical templates and present data-driven insights to business partners with clear narratives and actionable steps.
### Must-have Skills

- Experience: 4+ years of experience in data science, analytics, or applied ML.
- Language: Advanced English level (Essential for presenting ideas clearly and consulting with diverse global stakeholders).
- Strong technical expertise in Python and SQL.
- Proven experience with Spark and Databricks for scalable data processing.
- Clear understanding of linear regression, clustering techniques, and experimentation methods (A/B testing, MLflow).
- Strong storytelling and consultative skills to effectively explain complex solutions, answer business questions, and "sell" data-driven ideas.
### 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, modern NLP stacks (Transformers, spaCy), or cloud ML services like Azure ML.
- Familiarity with CI/CD concepts or basic MLOps practices.
### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Awizeline%3A8265817 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.