Kenvue 目前正在招聘 a：
我們做什麼
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。
我們是誰
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：
Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
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.
Kenvue is currently recruiting for:
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 Analyst, Data Science, you will develop and implement advance analytics, optimization models, and machine learning solutions to solve complex Operations Research business problems. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value.
Key Responsibilities:
- Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks.
- Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, 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.
- Stay up to date on the latest developments in operations research, supply chain management, and optimization techniques.
- 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 Industrial Engineering, Operations Research or Management Science or related field
- 2 – 4 years of business experience
- At least 2 years of experience in Supply Chain Optimization
- Machine Learning experience is required.
- Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms.
- Strong programming skills in languages such as Python with experience in optimization libraries (e.g., Gurobi, FICO, Pyomo, Streamlit) and data manipulation tools (e.g., pandas, NumPy).
- Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit
- Hands on python programmer with strong experience of OOPs
- Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks
Desired Qualifications:
- APICS certification – CPIM, CSCP
- Microsoft certification (e.g., Azure Fundamentals)
- Machine Learning certification
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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