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About The Role

As the Lead Data Scientist, you will be the brain behind our user conversion and retention engines. We are looking for a high‑impact, business‑oriented leader who understands that models are only as good as the results they drive. You won't just be looking at data; you will be architecting the intelligence that powers our core business KPIs. This role requires someone who is a go‑getter, genuinely excited about leveraging data to dictate the direction of the product. You will bridge the gap between technical complexity and business growth, translating ambiguous user signals into optimized, scalable machine‑learning solutions.

Responsibilities

- Lead the improvement and scaling of our New User Conversion (NUC) and Existing User Conversion (EUC) ML optimization models.
- Partner with Chat, Product, Engineering, and Growth teams to develop and implement strategies based on model findings.
- Partner with Product Managers to define the experimentation roadmap, ensuring that every ML initiative is tied to a clear hypothesis and user benefit.
- Pioneer the implementation of Natural Language Processing (NLP) signals into our core models to better understand and predict user intent through chat interactions.
- Develop and enhance new features to measure specific influences on business KPIs, focusing on practical modeling where features dictate high‑quality analysis.
- Proactively identify new ML use cases across the company to drive efficiency and user value.
- Use Python, SQL, and DBT to maintain high standards of data hygiene and model performance.

Requirements

- Significant experience in ML modeling, specifically using Regression, Clustering, XGBoost,



and CatBoost.
- Strong technical background in Natural Language Processing (NLP), Word Embeddings (HuggingFace) applied to real‑world business problems.
- Mastery of SQL and BigQuery for handling large‑scale datasets.
- Hands‑on experience with data visualization tools such as Tableau, PowerBI, or Looker to drive business insights.
- Familiarity with dbt (Data Build Tool) or similar data transformation frameworks.
- Full professional proficiency in English.
- Exceptional communication and stakeholder management skills, with the ability to present complex technical findings to non‑technical audiences.
- A proactive, “go‑getter” attitude with a deep interest in how data can be leveraged to drive product decisions and KPIs.
- These are the applicable requisites, although equivalent competencies in any of the above will also be considered.

What We Offer

- Competitive salary
- Initial stock options grant
- Annual performance bonus
- Health, dental, and vision plans
- Remote work environment, with optional hybrid in Miami and México City
- Continuous learning opportunities
- Unlimited PTO
- Paid parental leave
- Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer

At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pzviw

📌 Lead Data Scientist (Product) (Capital)
🏢 Félix
📍 Capital