Kenvueは現在、以下求人を募集しております。
Analyst, Data Science私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
Manager場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
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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