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Analyst, Data Science

职位职能:
发布日期:
结束日期:
ID:
2507037132W

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Kenvue 目前正在招聘 a:

Analyst, Data Science

我们做什么

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:

Manager

位置:

Asia Pacific, India, Karnataka, Bangalore

工作地点:

混合

你会做什么

Job Description Summary

Responsible for the development of new AI solutions to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights using advanced techniques, including but not limited to ML, NLP, GenAI and CV.

Job Description

Major Duties & Responsibilities 

  • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions.

  • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects.

  • Implement solutions following best practices of Software Development: Code Versioning, CI/CD, Documentation, etc.

  • Create visualizations and communication packages for business stakeholders that convey the assumptions, data and techniques used. 

  • Compare results from various methodologies and recommend optimal techniques.  

  • Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

Required Qualifications 

  • Bachelor of Science or Bachelor of Engineering at a minimum. 

  • 2-4 years of work experience as a Data Scientist 

  • Python (Pandas, Scikit-learn, Matplotlib) and SQL

  • Strong fundamentals of Machine Learning: Classification, Regression and Clustering.

  • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project.

  • Experience with cloud computing: Azure, AWS or GCP.

  • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results 

  • Self-motivated and a proactive problem solver who can work independently and in teams 

 Preferred Qualifications 

  • Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred 

  • Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred 

  • Experience in NLP, Computer Vision.

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