Kenvue 目前正在招聘 a：
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在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。
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我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.
Role reports to：
Global Head of People Ops and Technology位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
Responsibilities
40% time – Data Science Strategy for Advanced Analytics for People Data
- Provide thought leadership and strategic guidance to guide Kenvue towards advanced analytics solutions working closely with Center of Excellence Leads from across HR.
- Be Key Partner of Center of Excellence Leads to understand their problems, and evaluate how technology could solve those.
- Partner with cross functional teams like IT, Data Governance to formulate right process for Advanced Analytics Solutions in the company.
- Important part of role is to influence stakeholders towards optimal solution.
- As a Senior Manager, collaborating with and managing expectations of stakeholders is key.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
60% time as Individual Contributor and managing team deliverables
- Collaborate with HR Center of Excellences and data engineering team to identify opportunities for predictive insights, and machine learning to drive business solutions.
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
- Communicate complex data insights and recommendations to non-technical stakeholders in a clear and actionable manner.
- Utilize advanced analytics to solve business problems and drive measurable results.
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment.
- Stay current with the latest advancements in data science, machine learning, and AI technologies.
- Role will have few full time employees or contractors working under your guidance to deliver solutions.
Qualifications
- Bachelors or Master’s in Data Science, Statistics, Computer Science, or a related field.
- 8+ years of experience in data science, with at least 3 years in a leadership role.
- At least 5 years’ experience in open source programming languages for large scale data analysis
- At least 5 years’ experience with designing and optimizing large scale machine learning models, implementing large and complex data pipelines and deploying models into production
- At least 5 years' experience utilizing cloud-based solutions (AWS, Azure, Google Cloud)
- Ability to apply statistical knowledge in deriving correlations, statistical significance of trends.
- Prior working experience on Databricks and Snowflake a plus.
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