成为 NIKE, Inc. 团队的一员
NIKE, Inc. 不仅仅是为全球顶尖运动员提供装备,更是一个发掘潜力、突破边界、创造无限可能的地方。我们致力于寻找善于成长、思考、梦想和创造的人才。我们的企业文化因拥抱多元化、鼓励想象力而蓬勃发展。Nike 寻觅奋斗者、领导者和梦想者的加入。NIKE, Inc. 员工以出色的专业技能迎接挑战,满怀激情地投身于不断变化的行业发展之中。
WHO YOU’LL WORK WITH
As a Data Scientist at Nike GC Insight, Data Science and Analytics (IDSA) team, you will directly report to the Senior Data Science Manager at IDSA and be responsible for developing and maintaining predictive models, providing actionable insights to support business decisions, and researching and applying cutting edge technology. You will work closely with cross-functional teams including GC Marketing Science Team and GC Consumer and Product Insight Team to identify opportunities for leveraging company data to drive business solutions.
WHO WE ARE LOOKING FOR
Need to have:
- Bachelor or Master degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist or in a similar role.
- Strong proficiency in programming languages Python and SQL.
- Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication and presentation skills.
- At least 3–5-years relevant working experience
Good to have:
- Experience with big data technologies (such as Spark).
- Knowledge of cloud platforms (such as AWS).
- Familiarity with data engineering and ETL processes.
- Experience in footwear/apparel industry is a plus.
WHAT YOU’LL WORK ON
- Develop, implement, deploy and maintain predictive models.
- Analyse large, complex datasets to extract insights and identify trends.
- Collaborate with stakeholders to understand business needs and provide data-driven solutions.
- Communicate findings and recommendations to non-technical stakeholders through visualizations and reports.
- Stay up to date with the latest industry trends and technologies in data science and machine/deep learning.
- Ensure data quality and integrity throughout the data lifecycle.
我们的招聘策略
01 申请
我们的团队拥有多元化的技能组合、知识库、意见、想法和背景。 希望你能找到适合自己的职位,因此请查看职位描述、部门和团队,找到适合你的职位。
02 与招聘人员会面或进行评估
如果被选中担任公司职位,招聘人员将会联系你开启面试流程,并在整个过程中担任你的主要联系人。 如果是零售职位,你需要完成互动式评估,包括聊天和测验,用时约 10 到 20 分钟。 无论担任什么职位,我们都希望充分了解你。因此,请尽情展现你如何提供世界一流的服务以及你的独特之处。
03 面试
从容开启这一阶段,做好充分调查,了解候选人标准并根据个人情况和背景准备可能会被问到的问题。
