Sobre

En Decathlon, clientes y colaboradores tenemos una pasión en común: el deporte y su accesibilidad a todos.Somos un equipo de deportistas dinámicos y entusiastas, que comparten un mismo propósito:"Move people through the wonders of sports".Nos interesa tu perfil deportivo y comercial.Si te apasionan el deporte, el servicio al cliente, las ventas y ser parte de un DreamTeam…Convierte tu pasión por el deporte en una aventura profesional. 👇Responsabilidades y atribucionesJob DescriptionAs a junior data scientist, you will join a team of about 2 people, consisting of a data scientist and the data leader. Your responsibilities will include:Responding to various types of data requests from company colleagues (data extractions, automated emails, dashboards, data analysis).Maintaining and improving the team's data pipelines.Participating in discussions with stakeholders.Contributing to the growth of other team members and helping to establish best practices.Finding ways to collaborate with other teams within the company and identifying opportunities to add value through effective communication (e-commerce, stores, marketing, etc.).It is essential to be versatile, showing strong interest and leadership in related areas such as data analyst or business intelligence.ResponsibilitiesAs a Versatile Data Scientist, you will join a team of three people made up of data scientists and backend developers. You will play a central role in meeting the company's varied needs, combining skills in data science, data engineering, business intelligence, and application development. Your responsibilities will include:Data Requests: Handling data requests from various company departments, including data extractions, automated emails, dashboard creation, and data analysis.Improving Data Processes: Maintaining and enhancing the team's data management processes by developing and optimizing data pipelines for more efficient analyses.Algorithm and Application Development: Fixing bugs, improving existing features, and developing new features for our data models.Collaboration and Communication: Participating in discussions with stakeholders, identifying opportunities to collaborate with other teams (e-commerce, stores, marketing, etc.), and clearly and regularly communicating progress.Supervision and Mentoring: Supervising university interns and contributing to the upskilling of other team members by sharing best practices and fostering a continuous learning culture.Requisitos y calificacionesDesired ProfileWe are looking for a candidate with a bachelor degree in computer science, data science, engineering, mathematics, physics, or any other relevant field, with at least 1 year of experience in:Data Manipulation and Management: Advanced skills in SQL, Python, and R to handle large amounts of data, develop data visualization tools (connections) (Tableau, etc.), and perform analyses to generate relevant insights. Familiarity with Databricks, postgress & Github.Application Development and Machine Learning: Knowledge in developing data-driven applications and machine learning with Python, including deep learning methods (NLP, time series).Cloud Computing Skills: Experience with cloud platforms (AWS- Redshift S3) for data storage, executing scheduled scripts, and deploying applications. (Agregar AWS)Autonomy and Time Management: Ability to work independently, manage your own projects, and prioritize tasks effectively.Communication and Collaboration: Ability to effectively communicate with cross-functional teams and non-technical stakeholders to align data solutions with business needs.Skills and QualitiesProblem Solving: Ability to diagnose and resolve complex infrastructure and deployment issues.Collaboration: Strong ability to work in a team across development, operations, and security.Adaptability: Ability to adapt to changing technologies and environments.Communication: Clear and effective communication skills for both technical and non-technical audiences.Time Management: Ability to prioritize and manage tasks independently.Languages: English & Spanish