成為 NIKE, Inc. 團隊的一員

NIKE, Inc. 不僅為世界傑出運動員提供裝備, 這是一個探索潛能、消弭疆界及超越可能的園地。 公司尋找能夠成長、思考、懷抱夢想與創造的人才, 透過擁抱多元和獎勵想像力,讓文化欣欣向榮。 品牌尋找成就者、管理者以及具有遠見的夢想家。 在 NIKE, Inc.,我們就是要讓每個人都能在面對挑戰性十足且不斷演變進化的賽局中,揮灑熱情並一展所長。

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.

重要須知

招募策略

01 申請

我們的團隊由多元技能、知識庫、意見、想法和背景組成。 我們希望你找到合適的職位:查看職務說明、部門和團隊,探索適合你的角色。

02 與招募人員會面或進行評估

若獲選擔任公司職務,招募人員會與你聯絡,以展開面試流程,並在整個流程中擔任你的主要聯絡人。 若為 Retail 職務,你將完成包含對談和測驗的互動式評估,完成評估約需 10 至 20 分鐘的時間。 無論是哪個角色,我們都想瞭解你的各種面向,因此請不要避談你如何提供世界級的服務,以及你的與眾不同之處。

03 面試

在進入這個階段時,可先做好研究,瞭解我們在尋找的人才,並為深入瞭解你及相關背景而設定的問題做好準備,自信應對。

兩個人在戶外微笑擁抱