Kenvueは現在、以下求人を募集しております。
Sr. 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:
Senior Manager - Data Science場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
About Kenvue:
Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes.
Sr. Analyst, Data Science
This position reports to the Manager, Data Science and is based at Bengaluru, India.
Role reports to: Manager, Data Science
Location: Bengaluru, India
Travel %: 10%
What you will do:
As Sr. Analyst, Data Science, you will develop and implement data science and machine learning solutions to solve complex business problems within Kenvue Operations. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value.
The ideal candidate for this role will demonstrate 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 the project and excellent written and communications skills to report back the findings in a clear, structured manner
Key Responsibilities:
- Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks.
- Apply various data science techniques (e.g., Operations Research, Advanced Forecasting, Machine Learning, and Artificial Intelligence) to solve complex supply chain problems
- Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems.
- Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity.
- Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes.
- Follow code version through bitbucket / GIT, documenting work on Confluence.
- Build APIs for seamless integration with application.
- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment??
- Stay up to date on the latest technological developments across data science, machine learning, operations research, optimization techniques, etc.
- Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement.
What We Are Looking For
Required Qualifications:
- Masters degree in Computer Science, Operations Research, Management Science or other relevant field
- 4 – 6 years of business experience, with at least 4 years of experience working as a data science
- Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms.
- Proficiency with various data science technologies and modeling techniques
- Strong programming skills in languages such as Python with experience in optimization libraries and data manipulation tools (e.g., pandas, NumPy).
- Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, AzureML, Synapse, Databricks
- Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit
Desired Qualifications:
- Knowledge of supply chain concepts and processes, especially within Procurement function and/or Procure to Pay value stream is strongly preferred
- Microsoft certification (e.g., Azure Fundamentals) is preferred
- Machine Learning certification and/or hands on experience developing ML-driven models is preferred
- APICS certification (e.g., CPIM, CSCP) is preferred
- Experience in creating CI/CD pipelines for deployment using Jenkins is preferred
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
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