NIKE, Inc.チームの 一員になる

NIKE, Inc.の仕事は、世界トップクラスのアスリートたちにウェアやシューズを提供することだけではありません。ここは自分の潜在力を探求し、限界を取り払って、可能性を大きく広げることができる職場です。Nikeが求めているのは、意欲を持って成長し、自分の頭で考え、夢を思い描き、新しく創造できる人材。多様性を武器に創意工夫を奨励することで、企業文化を発展させています。Nikeブランドは、成功に向かって努力を続ける人や、チームを率いるリーダーや、大きな目標を思い描ける人材を求めています。常に進化し続ける仕事にはやりがいがあり、NIKE, Inc.では従業員一人ひとりが各々のスキルと情熱を日々の業務に注いでいます。

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $178,900.00 in our lowest geographic market to $376,600.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

WHO WE ARE LOOKING FOR 

We are looking for visionary and value-driven Director of Intelligence to lead our data science and machine learning teams in support of digital transformation across product merchandising and apparel and footwear design and developmentAs the Director of Intelligence in the Consumer Product & Innovation (CP&I) organization you will lead the strategic application of data science and machine learning to drive rapid value delivery through improved decision-making and automated workflow across the Nike product creation lifecycle. 

 

WHAT YOU WILL WORK ON 

This role will lead, support and develop the Intelligence team members, manage priorities, and deliver results across boundariesThe successful candidate is an inclusive and empowering technology leader with a history of building trust, tight partnerships and rapid value delivery. 

 

You will be responsible for: 

  • Leading, mentoring, and managing the cross-functional Intelligence team of data scientists and machine learning engineers  

  • Defining and executing the Intelligence strategy aligned with business objectives across product merchandising, apparel and footwear design and development 

  • Collaborating with product managers and business stakeholders to identify and transform business opportunities into value-centric data science requirements leading to data-driven solutions that deliver measurable business impact and drive growth 

  • Guiding the design and delivery of AI-powered features, decision-support tools, prescriptive/predictive models and recommender systems 

  • Ensuring robust model development, validation, deployment, and monitoring practices 

  • Collaborating with product merchandising, apparel and footwear design and development business and technology teams to ensure scalable, secure, and integrated insights solutions 

  • Delivering data-driven insights in alignment with cross-functional and multi-year roadmaps and modern industry trends 

  • Championing the use of data science and machine learning as core enablers of merchandising and product creation excellence 

  • Attracting, developing, and retaining top talent across the Intelligence function 

  • Cultivating a culture of trust, innovation, and experimentationLeading teams to explore new and emerging technologies and how those can help deliver business value at scale 

 

WHO YOU WILL WORK WITH 

As a leader in the organization, you will partner closely with business and technology leadership, product managers, principal engineers, and peer leaders across Merchandising and Product Creation teams to manage priorities and drive alignment. 

 

WHAT YOU BRING 

  • 10+ years in advanced analytics, data science, machine learning, 5+ years in a leadership role 

  • Proven experience managing technical teams in advanced analytics, machine learning or applied data science within a product or technology organization 

  • Extensive experience with cloud tools for data science, machine learning and modeling, visualization e.g., Jupyter Notebooks, RStudio, pandas, PySpark, SageMaker, Databricks, MLFlow, Tableau, PowerBI  

  • Expertise in languages like Python, R, and SQL for data manipulation, analysis and model building  

  • Demonstrated success in building and operationalizing AI/ML solutions that drive measurable business impact 

  • Strong knowledge in machine learning methods, model development lifecycle and MLOps practices 

  • 3+ years of experience building models   

  • 3+ years of deep learning, neural network algorithm development  

  • Prediction, Forecasting, A/B testing, complex modeling and data analyses  

  • Experience working within large organizations or scaled Agile methodologies 

  • Ability to communicate complex data in a simple, actionable way to non-technical audiences and leadership teams 

  • PhD in data science or related field. Will accept any suitable combination of education, experience and training

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

今後の予定

私たちの採用プロセス

01 応募

私たちのチームは、多様なスキルセット、知識、意見、アイデア、バックグラウンドを持つメンバーで構成されています。 職務内容、部門、チームを確認して、自分に合った役割を見つけましょう。

02 採用担当者に会う、または評価を受ける

コーポレートの職務を選んだ場合、面接プロセスを開始するために採用担当者が連絡を取り、面接が終了するまでの間、あなたの主な窓口となります。 リテール職の場合は、チャットとクイズを含む対話型の評価を行うことになります。所要時間は約10~20分です。 職務に関わらず、私たちは皆さんの人となりを知りたいと思っています。世界トップクラスのサービスに対する考え方や、あなたの独自性について遠慮なく話してください。

03 面接

Nikeについて調べ、Nikeが何を求めているのかを理解し、あなたの人となりや経歴について詳しく知るために設定された質問に答えられるよう準備し、自信を持ってこのステージに臨んでください。

屋外で笑顔で抱き合う 2 人