Lead Data Scientist (Fintech)

TL;DR

Lead Data Scientist (Fintech): Architecting user conversion and retention engines for a remittance ecosystem with an accent on ML optimization and NLP signals. Focus on bridging technical complexity and business growth by translating user signals into scalable machine-learning solutions.

Location: Remote, with hybrid options in Miami and México City

Company

hirify.global is a hyper-growth Series B fintech company building an AI-powered financial ecosystem and remittance revolution for Latin immigrants in the U.S.

What you will do

• Lead the improvement and scaling of New User Conversion (NUC) and Existing User Conversion (EUC) ML optimization models.
• Collaborate with Chat, Product, Engineering, and Growth teams to implement strategies based on model findings.
• Partner with Product Managers to define the experimentation roadmap and tie ML initiatives to clear hypotheses.
• Implement NLP signals into core models to better predict user intent through chat interactions.
• Develop new features to measure specific influences on business KPIs using practical modeling.
• Proactively identify new ML use cases across the company to drive operational efficiency and user value.

Requirements

• Significant experience in ML Modeling, specifically using Regression, Clustering, XGBoost, and CatBoost.
• Strong technical background in NLP and 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.
• Familiarity with dbt (Data Build Tool) or similar data transformation frameworks.
• Full professional proficiency in English.

Culture & Benefits

• Competitive salary, initial stock options grant, and annual performance bonus.
• Comprehensive health, dental, and vision plans.
• Remote-first work environment with hybrid office possibilities in Miami and México City.
• Unlimited PTO and paid parental leave.
• Growth opportunities within a dynamic, entrepreneurial environment with continuous learning.