Senior Data Scientist

Location: Centro Tular Primera Sección

Company Description   Puul, headquartered in Monterrey, Mexico, is a forward-thinking carpooling platform offering cost-effective, secure, and eco-friendly transportation solutions. Through its user-friendly mobile application, Puul connects drivers and passengers with similar routes, reducing travel expenses for passengers and providing extra income opportunities for drivers. The platform ensures user safety with profile verification, ratings, and selective matching, while fostering social engagement through group features for educational institutions and businesses.

As a vital partner for enterprises and schools in Nuevo León, Puul contributes in traffic reduction, lower carbon emissions, and the fostering of sustainable urban mobility.

Role Description
This is a full-time hybrid role for a Senior Data Scientist, located in Monterrey, NL, with opportunities for remote work. The Senior Data Scientist will design and implement data-driven solutions to analyze user behavior, optimize carpooling algorithms, and enhance platform performance. Responsibilities include collecting and preprocessing large datasets, applying statistical methodologies, building predictive models, creating data visualizations, and providing actionable insights to support business decisions and improve user experiences.
Qualifications
Expertise in Data Science, including knowledge of machine learning techniques and algorithms
Strong foundation in Statistics and Data Analysis concepts

Experience with Data Analytics tools and techniques
Proficiency in Data Visualization tools and communicating insights effectively
Proficiency in programming languages such as Python, R, or SQL
Familiarity with cloud platforms and big data technologies is a plus (GCP)
Excellent problem-solving and critical-thinking skills
Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field