Data Science Manager, LATAM
Tilt· Credit
Remote - Americas, Remote - Brazil, Remote - US, Remote - MexicoFull-timePosted 2mo ago
About the role
Data Science Lead to own data science across Mexico and Brazil, leading a small team while remaining hands-on. Role spans two markets with differing maturity, establishing foundations in one and advancing mature practices in the other.
Responsibilities
- Own the data science strategy and roadmap for Mexico and Brazil — what we build, in what order, and to what standard.
- Remain hands-on, building and shipping models alongside the team.
- Establish modelling standards, infrastructure, and delivery practices where they don't yet exist, and raise the bar where they do.
- Lead, mentor, and develop a small team of data scientists across two markets and a wide range of experience levels.
- Partner with credit leadership as a peer — understanding business objectives and translating them into modelling, impact measurement, valuation input, and P&L analysis.
- Bring structure and discipline to how the work runs: clear priorities, visible progress, and reliable delivery.
- Contribute to methodologies that can be adopted across the wider Tilt data science organisation.
Qualifications
- You've led a team of Data Scientists before, ideally across different regions.
- You're still a builder. You've stayed close to the modelling work and want to keep it that way.
- Strong applied machine learning and modelling craft, with a clear view of what good looks like and the ability to raise a team to meet it.
- Sufficient understanding of credit and underwriting to contribute meaningfully to credit conversations. Direct experience in lending, credit, or payments is a strong advantage.
- Comfortable with ambiguity and pace, with a track record in high-growth or small-company environments.
- A strong bias toward delivery, and the judgement to know when to stop exploring and start shipping.
- You connect data science to measurable business outcomes and communicate technical ideas clearly to non-technical stakeholders.
Skills
Required:Data science leadershipApplied machine learningCredit modelling
Benefits
- Virtual-first teamwork: WFH office reimbursement.
- Competitive pay with generous equity.
- Complete support: flexible health plans and subsidies that meet global standards.
- Visibility to leadership with quick idea diffusion.
- Paid global onsites twice yearly.
- Impact is recognized with growth opportunities based on contributions.
Last updated Oct 7, 2026. Interested? Apply on the company site.

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