Sr Data Scientist/Analytics (LATAM)

UP.Labs; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Vantora is seeking a Senior Data Scientist/Analyst to transform complex data into actionable insights guiding product, venture-building decisions, and performance measurement. You will apply data science, ML, analytics, and data engineering to build scalable, data-driven solutions for cross-functional teams.

You will design data workflows, develop predictive models, and communicate findings to stakeholders with dashboards and narratives.

Formación

• Experience applying data science and ML to business problems.
• Ability to build analytics and BI solutions for decision-making.
• Familiarity with data pipelines, transformation, and reliability.

Responsabilidades

• Develop analytical frameworks, models, and insights for BI and strategy.
• Apply ML methods to identify patterns and build predictive models.
• Design and maintain data workflows for collection, transformation, analysis, reporting.
• Collaborate with cross-functional teams to translate questions into analyses.
• Create dashboards and data narratives communicating trends and risks.
• Ensure data quality and usability across initiatives.

Conocimientos

Data science

Machine learning

Python

SQL

PostgreSQL

Data engineering

BigQuery

GCP

Herramientas

BigQuery

GCP

Descripción del empleo

Overview

Vantora is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge

The Senior Data Scientist/Analyst will transform complex data into actionable insights that guide product, business, and venture-building decisions. This person will apply data science, machine learning, analytics, and data engineering practices to help teams identify opportunities, measure performance, and build scalable data-driven solutions.

Responsibilities

• Develop analytical frameworks, models, and insights that support business intelligence, product strategy, and venture decision-making.
• Apply data science and machine learning methods to identify patterns, build predictive models, and solve complex business problems.
• Design and maintain data workflows that enable reliable data collection, transformation, analysis, and reporting.
• Partner with cross-functional teams to translate business questions into clear analytical approaches and actionable recommendations.
• Create dashboards, reports, and data narratives that communicate performance trends, risks, and opportunities to stakeholders.
• Ensure data quality, consistency, and usability across analytical and machine learning initiatives.

Required Skills

• Strong ability to apply data science and machine learning techniques to real-world business and product challenges.
• Experience developing analytics and business intelligence solutions that support strategic decision-making.
• Working knowledge of data engineering concepts, including data pipelines, data transformation, and data reliability.
• Proficiency in Python for data analysis, modeling, and automation.
• Strong SQL skills for querying, transforming, and analyzing structured data.
• Experience working with PostgreSQL or similar relational databases.
• Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.
• Comfortable operating in a fast-paced startup or venture-building environment.

Preferred Skills

• Experience with GCP and BigQuery.

Vantora Summary

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.

Location: Remote