IC3 - Data Scientist

SPIN is the business unit of FEMSA that enriches and simplifies people's lives. It is an ecosystem of financial and digital solutions that creates added value by helping our users and communities do more with their time and money.

The Spin ecosystem is made up of simple, agile, and accessible solutions that help our customers meet everyday needs while earning rewards for doing so. These include the digital wallet Spin by OXXO, the loyalty program Spin Premia, and Spin Negocios, which offers various business solutions such as NetPay and OXXO PAY.

DATA SCIENTIST

Objective of the Role:

As a Mid-level Data Scientist, you will focus on designing, developing, and optimizing machine learning models to solve real business challenges. You will be part of the Analytics Chapter, where you’ll share knowledge and best practices with other Data Scientists, but your daily work will be embedded within a cross-functional squad, collaborating with Product, Business, Engineering, and MLOps teams. This role is ideal for professionals passionate about exploring algorithms, experimenting with new techniques, and driving model performance, while leaving deployment responsibilities to dedicated MLOps specialists. You will be supported by the Analytics Chapter community, strengthening your skills, exchanging ideas, and contributing to a culture of data-driven innovation across teams.

Main Responsibilities

● Perform exploratory data analysis to identify patterns, trends, and actionable insights.

● Gather, clean, and prepare complex datasets from diverse sources, ensuring data consistency and integrity.

 ● Design, develop, and optimize machine learning models for prediction, classification, clustering, and forecasting, applying advanced algorithms and rigorous validation techniques.

● Work closely with other Data Scientists and cross-functional teams to integrate data products into business processes.

● Stay current on trends in data science and machine learning, applying new knowledge to enhance capabilities and drive innovation.

 ● Collaborate with MLOps engineers to monitor and maintain models in production environments.

● Document methodologies and results; communicate findings clearly to technical and non-technical audiences.

● Contribute to a culture of autonomy, accountability, and proactive problem-solving.

 ● Act as a Spin Culture Ambassador, promoting a positive and inclusive work environment aligned with company values.

Required Knowledge and Experience

● Minimum 3–5 years in data science, statistics, programming, or related fields, with hands-on experience in data analysis, machine learning, and statistical modeling.

● Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Actuarial Science, Computer Science, or a related discipline. Desirable: Advanced coursework or specialized training in machine learning, statistics, or data science.

● Proficiency in programming languages commonly used in data science, such as Python . Familiarity with libraries and frameworks like NumPy, Pandas, scikit-learn (Python), for data manipulation, analysis, and modeling.

● Strong understanding of statistical concepts and techniques, including hypothesis testing, regression analysis, and probability distributions.

● In-depth knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, ensemble methods, including linear regression, logistic regression, decision trees, random forests, k-nearest neighbors (KNN),clustering algorithms, time series and recommendation systems. Familiarity with model evaluation metrics and techniques.

● Proficiency in SQL for querying, manipulating, and retrieving data from relational databases.

 ● Ability to create visualizations to communicate insights and findings effectively. Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn,,

● Experience with version control systems like Git for managing code repositories, tracking changes, and collaborating with team members.

 ● Desire: Basic understanding of the specific industry or domain in which the organization operates. Awareness of industry-specific trends, regulations, and business processes.

● Strong analytical and problem-solving skills, with the ability to break down complex problems, formulate hypotheses, and develop data-driven solutions.

Spin está comprometida con un lugar de trabajo diverso e inclusivo. 
Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. 
Si desea solicitar una adaptación, notifique a su Reclutador.