Rejoignez l'équipe NIKE, Inc.
Loin de se contenter d'équiper les plus grands athlètes mondiaux, NIKE, Inc. explore les potentiels, abolit les frontières et repousse les limites du possible. L'entreprise recherche des personnes capables d'évoluer, de réfléchir, de rêver et de créer. L'épanouissement de sa culture repose sur son ouverture à la diversité et sur sa façon d'encourager l'imagination. La marque a besoin de personnes talentueuses, de leaders et de visionnaires. Chez NIKE, Inc., chacun contribue, par ses compétences et sa passion, à jouer un match difficile en constante évolution.
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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NOTRE PLAN DE RECRUTEMENT
01 Posez votre candidature
Nos équipes se composent de personnes apportant des compétences, des connaissances, des contributions, des idées et des expériences variées. Nous souhaitons vous aider à trouver le poste qui vous correspond. Consultez les descriptions de poste, les services et les équipes pour trouver le poste parfait pour vous.
02 Rencontrez des responsables du recrutement ou passez une évaluation
En cas de sélection pour un poste au sein de l'entreprise (poste Corporate), une personne du service de recrutement vous contactera pour entamer le processus d'entretien. Cette personne sera votre contact principal tout au long du processus. Pour les postes dans la vente au détail (postes Retail), l'évaluation interactive comprend une discussion et des quiz. Elle dure environ 10 à 20 minutes. Quel que soit le poste que vous visez, nous souhaitons en savoir plus sur vous, alors n'hésitez pas à nous dire quelle est votre vision d'un service de haute qualité et ce qui vous rend unique.
03 Entretien
Abordez cette étape avec confiance, en faisant vos recherches, en comprenant ce que nous attendons et en vous préparant à répondre aux questions qui vous seront posées pour mieux connaître votre personnalité et votre parcours.
