Lead Data Scientist, LATAM Markets

Tilt; Culiacán Rosales; Presencial; MXN 2.042.000 - 3.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Virtual-first teamwork across 14+ coun

Competitive compensation packages

Generous equity

Comprehensive health plans

Global onsite opportunities

Direct exposure to leadership

Descripción de la vacante

Tilt is seeking a Lead Data Scientist for LATAM (Mexico and Brazil). You will own data science across two markets, lead a small team while remaining an active contributor—building models, shaping direction, and setting standards for credit decisioning and portfolio valuation.

The role is remote with international collaboration, fluent English required, Portuguese a plus, and generous equity and compensation. Based in Brazil, Mexico, or the US are acceptable locations.

Formación

• Experience leading data science teams in fast‑growing environments.
• Strong hands-on modelling and ML craft with measurable outcomes.
• Background in credit modelling or lending is a plus.

Responsabilidades

• Define and own the data science strategy and roadmap for LATAM.
• Lead and mentor a small team across Mexico and Brazil while remaining hands-on.
• Establish modelling standards, infrastructure, and delivery practices.
• Collaborate with credit leadership to translate business objectives into modelling inputs and P&L impact.
• Ensure clear priorities, visible progress, and reliable delivery across markets.

Conocimientos

Data science leadership

Hands-on modelling

Applied machine learning

Credit modelling

Stakeholder communication

Team mentorship

Herramientas

Python

SQL

Model deployment

Descripción del empleo

Tilt is seeking a Lead Data Scientist for LATAM (Mexico and Brazil). You will own data science across two markets, lead a small team while remaining an active contributor—building models, shaping direction, and setting standards for credit decisioning and portfolio valuation.

The role is remote with international collaboration, fluent English required, Portuguese a plus, and generous equity and compensation. Based in Brazil, Mexico, or the US are acceptable locations.