Kenvue 目前正在招聘 a：
我们做什么
在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.
Role reports to：
Global Head of People Ops and Technology位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
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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