Forma parte del equipo NIKE, Inc.
NIKE, Inc. hace más que equipar a los mejores atletas del mundo. Es un lugar para explorar el potencial, borrar las fronteras y ampliar los límites de lo que se puede ser. La empresa busca personas que puedan crecer, pensar, soñar y crear. Su cultura aumenta al adoptar la diversidad y recompensar la imaginación. La marca busca a los triunfadores, los líderes y los visionarios. En NIKE, Inc. se trata de que cada persona aporte sus habilidades y pasión a un juego desafiante y en constante evolución.
Team NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
As a Software Engineer within the AIML team, you will be developing sophisticated analytics systems that directly impact our business. You will work on a cross-disciplinary team (Machine Learning / Software Engineering / DevOps) to enable data-driven decision-making across multiple organizations. Working at the intersection of machine learning and software engineering, you’ll create high-quality solutions that power Nike. You will work with others who are energized by the challenge of building things from the ground up, thinking out of the box, and applying the latest technologies in statistical, unsupervised, supervised, and machine-learning models at a global scale. Our teams enjoy a collaborative and academic environment that promotes developing new skills, mentorship, and a drive to deliver knowledge and software back to analytics and engineering communities, within and Nike and without. This culture is cultivated by intellectual curiosity, fun, willingness, and diversity.
WHO WILL YOU WORK WITH
AIML is one of the key groups within Data and Artificial Intelligence. We’re chartered to scale machine learning and AI at Nike. For areas of the business early in their analytics journey, we embed cross-disciplinary teams of data scientists and engineers to unlock new capabilities and answer unsolved (or unasked!) questions.
In mature areas with preexisting data science teams, we help scale machine learning by attaching engineering squads to grow their capacity to deliver for the business. In addition, we collaborate closely with platform and architecture partners to develop capabilities that simplify machine learning at scale within Nike (e.g. model deployment, A/B testing, model monitoring).
WHAT YOU BRING TO NIKE
Understanding of Python programming and ability to write simple, clear code
Familiarity with version control systems like Git
Familiarity with SQL and Spark basics
General awareness of data science concepts and common machine learning algorithms
Understanding of cloud computing concepts (e.g., AWS, Google Cloud)
Educational background or coursework in mathematics, statistics, or computer science
Understanding of basic software design principles
Good communication skills and ability to work in a team environment
Willingness to learn and grow in areas of data science and software development
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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PROGRAMA DE CONTRATACIÓN
01. Presenta una solicitud
Nuestros equipos son diversos y están formados por personas que aportan capacidades, conocimientos, ideas y experiencias diferentes. Queremos que encuentres el trabajo perfecto para ti, así que lee las descripciones de los puestos, los departamentos y los equipos.
02. Conoce al/a la responsable de la selección de personal o haz una evaluación
Si te seleccionan para ocupar un puesto corporativo, la persona responsable de la contratación te contactará para comenzar las entrevistas y será tu punto de contacto principal durante todo el proceso. Para los puestos de Retail, tendrás que completar una evaluación interactiva de entre 10 y 20 minutos que incluye una conversación y cuestionarios. Independientemente de tu puesto, queremos conocer todas tus facetas, así que no tengas reparo en enseñar cómo ofreces un servicio premium y qué es lo que te diferencia de los demás.
03. Haz una entrevista
Enfréntate a esta fase con confianza. Para ello, investiga, entiende lo que buscamos y prepárate para responder a las preguntas que te hagan para conocerte mejor a ti y a tu experiencia.
