---
title: 'Data Scientist L2 at Vana'
canonical: 'https://feeny.ai/job/data-scientist-l2-vana-guatemala-ntqvzjyk46vk'
type: 'job'
last_seen: '2026-09-07'
---

# Data Scientist L2 at Vana

- **Company:** Vana
- **Location:** Guatemala
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-26
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/vana/ce8ff38a-a94c-4a97-8ad7-0fe9ddc0c42f

## Job description

Responsabilidades:

- Análisis y modelado de datos: Aprovechar tus habilidades analíticas para identificar patrones, tendencias e información valiosa (insights) a partir de grandes conjuntos de datos.
- Desarrollo y validación de modelos: Utilizar técnicas estándar de la industria para crear variables (features), limpiar conjuntos de datos y desarrollar pipelines para entrenar e implementar nuestros modelos, enfocados principalmente en modelos de clasificación.
- Evaluación del riesgo crediticio: Evaluar el riesgo crediticio de posibles prestatarios utilizando los modelos desarrollados, asignando de manera efectiva puntajes de crédito (credit scores) o probabilidades de incumplimiento (Probability of Default - PD). Buscamos personas que piensen de manera innovadora; con frecuencia utilizamos datos alternativos para construir nuestros modelos, por lo que valoramos tanto las mejores prácticas de la industria como soluciones creativas.
- Ingeniería de características (Feature Engineering): Identificar y crear variables relevantes que mejoren el poder predictivo de los modelos y representen adecuadamente la solvencia o capacidad crediticia de los individuos.
- Colaboración interdisciplinaria: Trabajar en conjunto con otros equipos para proporcionar análisis, desarrollar modelos y participar en la toma de decisiones técnicas.
- Monitoreo y evaluación del desempeño: Supervisar continuamente el rendimiento de los modelos implementados, evaluar sus métricas y realizar los ajustes necesarios para adaptarlos a cambios en el comportamiento de los usuarios, las condiciones del mercado o la normativa aplicable.
- Investigación e innovación: Mantenerse actualizado sobre los últimos avances en ciencia de datos y aprendizaje automático (Machine Learning), además de experimentar con nuevos enfoques para la evaluación del riesgo crediticio. Requisitos
- Formación en Ciencia de Datos, Estadística, Ciencias de la Computación o una carrera relacionada, con conocimientos en programación. [INDISPENSABLE]
- Experiencia o conocimientos en Data Engineering. [DESEABLE]
- Conocimiento de servicios de AWS (Amazon Web Services). [DESEABLE]
- Entre 1 y 2 años de experiencia en Ciencia de Datos o Analítica de Datos/Negocio (con conocimientos en Machine Learning). [INDISPENSABLE]
- Entre 1 y 2 años de experiencia aplicando Machine Learning al análisis de riesgo financiero. [DESEABLE]
- 2 años o más de experiencia utilizando Python y SQL. [INDISPENSABLE]
- Buscamos una persona con pensamiento analítico y creativo, apasionada por explorar datos, extraer información de  valor y convertirla en decisiones accionables para el negocio. [INDISPENSABLE]

## About Vana

## Company Overview
- **One-liner**: Vana is a decentralized network that enables users to own, port, and monetize their personal data, powering user-owned AI models and applications.
- **Entity Type**: Private (Series A – latest round closed February 2025)
- **Headquarters**: San Francisco, California, United States (with a secondary office in Dehradun, India, and distributed across 9 countries)
- **Founded**: 2021
- **Founders**: Anna Kazlauskas (Co-Founder & CEO)

## Core Business
- Primary industry/industries: Decentralized Infrastructure, AI / Machine Learning, Data Portability, Web3
- Target customers: **B2B** – AI developers and application builders seeking high-quality, permissioned user data; **B2C** – end users who want to control and profit from their personal data
- Mission or purpose statement: “To build an open internet where users own their data and the AI models they contribute to, creating a user-owned foundation model trained by 100 million users.”

## Products & Services
- **[Vana Data Layer / Protocol]**: A decentralized, permissioned data layer that lets users connect existing accounts (social media, health, finance, etc.) and grant apps access to their data. Data is portable, secure, and user‑controlled. Enables AI systems to start with real user history instead of empty profiles.
- **[DataDAOs]**: User‑governed data pools that aggregate and curate datasets for specific use cases. DataDAOs allow communities to collectively negotiate data licensing and receive compensation.
- **[VANA Token]**: Native utility token used for staking, governance, data market transactions, and incentivising network participants.
- **[Vega Upgrade (2026)]**: Protocol upgrade that operationalizes data market making through “Digital Data Holdings,” matching user‑owned data supply with enterprise demand.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Total Funding**: **$25M – $45M** (conflicting reports: Tracxn lists $25M over 4 rounds; Wellfound/LinkedIn states $45M total; the difference may reflect unannounced rounds or token sales)
- **Key Investors**: Paradigm, Coinbase Ventures, Polychain Capital, YZi Labs (with CZ as advisor), and angel investors
- **Growth Signals**:
  - Employee headcount grew 19.4% YoY (14–43 employees across 9 countries)
  - Mainnet launched December 2024 with $VANA token
  - Partnership with Flower Labs (May 2025) to build the world’s first user‑owned AI model
  - Vega upgrade announced in January 2026 moves from “validation to capture”
  - Government interest in data sovereignty – Vana positioned as neutral infrastructure

## Competitive Advantages
- **First‑mover in user‑owned data** – builds on Web3 primitives of self‑custody and portability for AI‑era data supply.
- **Permissioned data layer** – users grant explicit access, solving privacy/compliance issues for enterprises while retaining control.
- **Multichain and flexible** – supports complex, continuously updated datasets via DataDAOs and multi‑chain incentives.
- **Strong investor backing** from top crypto VCs (Paradigm, Coinbase, Polychain) lends credibility and network effects.

## Strategic Focus
- **Scaling data supply** – converting the “data wall” into a market where user‑owned data meets enterprise AI demand (Vega upgrade).
- **Expanding DataDAOs** – enabling communities to curate high‑quality, permissioned datasets.
- **Regulatory alignment** – positioning as neutral execution infrastructure that governments can trust for data rights and portability.
- **Building the user‑owned foundation model** – training with real, contributed data from 100M+ users.

## Why Work Here
- **Culture**: Described as a decentralized, mission‑driven team with a strong belief in data sovereignty. Remote‑first with a global team spanning 9 countries (US, Guatemala, Australia, UAE, Indonesia, Thailand, Vietnam, Nigeria, Canada).
- **Work Model**: Hybrid/remote depending on role; on‑site offices in San Francisco and Richmond, VA. Some roles are fully remote, others require in‑office presence (e.g., operations roles in Guatemala).
- **Perks**: Parental leave is offered; AI tools are used in hiring (transparently noted). Engineering culture emphasizes solving hard infrastructure problems at the intersection of AI and Web3.
- **Growth Opportunity**: Early‑stage (Series A) with high autonomy and ownership; chance to define a new asset class for data.

## Sources
1. [Lever (Careers)](https://jobs.lever.co/vana)
2. [Built In](https://builtin.com/company/vana)
3. [Tracxn – Vana Profile](https://tracxn.com/d/companies/vana/__qZ1dQNPTOPze-noFiejT0y1AER91teVcTOsnEE5D9Qo)
4. [LeadIQ – Vana Overview](https://leadiq.com/c/vana/621627aa0f6952540d18fee5)
5. [LinkedIn – Vana Post (Jan 2026)](https://linkedin.com/company/vanaxyz)

## Other roles at Vana

- [Agente de Servicio al Cliente | Back Office](https://feeny.ai/job/agente-de-servicio-al-cliente-back-office-vana-guatemala-8hrmrjj53daf) — Guatemala
- [IT Support L1 (HelpDesk) - Due](https://feeny.ai/job/it-support-l1-helpdesk-due-vana-guatemala-xs3tatgz91ct) — Guatemala
- [Jefe de Análisis de Crédito MiPyme](https://feeny.ai/job/jefe-de-analisis-de-credito-mipyme-vana-guatemala-yy37hmbbgbwd) — Guatemala
- [Head of Tax](https://feeny.ai/job/head-of-tax-vana-guatemala-xryj0m1p6gyk) — Guatemala
- [HR Business Partner - Mid Lever](https://feeny.ai/job/hr-business-partner-mid-lever-vana-guatemala-ejwbqxckney4) — Guatemala
- [Gerente Regional de Cumplimiento](https://feeny.ai/job/gerente-regional-de-cumplimiento-vana-guatemala-p2fdp0xqpxvp) — Guatemala
- [Reporting & People Analytics Specialist HR](https://feeny.ai/job/reporting-people-analytics-specialist-hr-vana-guatemala-rabjcr4khdzq) — Guatemala
- [Gestor de Cobranza Senior (Telefónico y Campo)](https://feeny.ai/job/gestor-de-cobranza-senior-telefonico-y-campo-vana-guatemala-razm2swmw6jn) — Guatemala
- [Reclutador Operativo](https://feeny.ai/job/reclutador-operativo-vana-guatemala-vn47y381tf9n) — Guatemala
- [Supervisor Televentas](https://feeny.ai/job/supervisor-televentas-vana-guatemala-zqzgfk3vs522) — Guatemala