Mid Data Scientist

Stori; Ciudad de México; Presencial; MXN 40,000 - 80,000; Jornada completa

Descripción de la vacante

An innovative financial technology company is seeking a data scientist passionate about leveraging data to democratize credit access. This role focuses on modeling, data analysis, and problem-solving to understand customer behavior and optimize marketing strategies. With a strong emphasis on collaboration and communication, you will work closely with business stakeholders to translate complex data into actionable insights. Join a forward-thinking team dedicated to promoting financial inclusion and making a significant impact in the lives of underbanked consumers in Latin America.

Formación

• 3+ years of experience in data science and Python programming.
• Strong analytical skills with a passion for problem-solving.
• Ability to communicate complex concepts effectively.

Responsabilidades

• Modeling and monitoring data analysis to derive insights.
• Communicate with stakeholders to understand initiatives.
• Build and maintain end-to-end modeling solutions.

Conocimientos

Python

SQL

Data Analysis

Machine Learning

Statistical Modeling

Communication Skills

Problem Solving

Flexibility

Educación

Advanced Degree in Computer Science

Advanced Degree in AI

Advanced Degree in Statistics

Advanced Degree in Applied Math

Herramientas

AWS

Descripción del empleo

Job Description

Who are we. Stori is a fast-growing, venture-backed financial technology company. A total funds of 50 million dollars has been raised to date, from top global venture capital funds like Lightspeed Venture Partners, Vision Plus Capital, BAI Capital, and Source Code Capital. Stori operates in Mexico and has a global team with offices in Mexico, U.S., and China. We are quickly becoming a well-known digital bank brand in Mexico.

Our mission. Financial inclusion is a persistent challenge. In the Americas, hundreds of millions of consumers are underserved or lack access to financial products. Our mission is to democratize credit access for the 400 million underbanked Latam consumers.

What Stori-ers do. We believe that convenient access to credit and credit education are key to promoting healthy credit usage. As a Fintech, we leverage technology, data, and analytics to achieve our goals.

Job Requirements

Basic Qualifications

• Advanced degree in Computer Science, AI, Physics, Statistics, Applied Math, or related quantitative fields
• 3+ years of experience with Python and SQL for data analysis
• 3+ years of experience in data science
• Strong communication skills, especially regarding analytical concepts and methods
• Ability to work under pressure and meet tight deadlines with proactiveness, decisiveness, and flexibility
• Passion for problem solving with data and analytics
• Self-motivated with intellectual curiosity
• Ability to quickly learn new technologies, concepts, and tools

Preferred Qualifications

• 2+ years of experience in the Credit industry or growth marketing
• 2+ years of experience coaching junior data scientists and analysts
• 5+ years of experience with Python programming
• 5+ years of experience with Machine Learning or Statistical Modeling
• Experience in A/B testing design and execution
• Working experience with AWS

Job Benefits

Details about benefits are not specified in the provided description.

Main Responsibilities

Modeling (guided or independently)

As a customer-centered company, understanding customers is a top priority for data scientists at Stori. Data is the most reliable source for customer insights. Your daily tasks will include modeling and monitoring, data analysis, problem solving, and innovation:

• Communicate with business stakeholders to understand new initiatives
• Design models as products
• Data collection, processing, and transformation
• Explore new data sources
• Build, demonstrate, maintain, and iterate modeling solutions end-to-end
• Translate vague phenomena into structured analytical problems using statistical and machine learning techniques to derive insights and inform strategies
• Apply advanced statistical techniques such as incrementality, experiment design, regression, clustering, causal inference, and synthetic control to measure KPIs like ROI, marketing effectiveness, LTV, etc.
• Create metrics, dashboards, and insights to evaluate and optimize marketing activities