Analyst, Data Science
- Функция работы:
- Дата публикации:
- Дата окончания:
- ID:
- 2507035644W
Поделиться этой вакансией:
Kenvue в настоящее время набирает сотрудников на:
Что мы делаем
At Kenvue, мы осознаем необычайную силу повседневной заботы. Основанный на более чем вековом наследии и уходящий корнями в науку, мы являемся домом культовых брендов, включая NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® и BAND-AID®, которые вы уже знаете и любите. Наука – наша страсть; забота – это наш талант.
Кто мы
Наша глобальная команда – это ~ 22 000 блестящих людей с культурой рабочего места, где каждый голос имеет значение, а каждый вклад ценится. Мы увлечены идеями, инновации и стремление поставлять нашим клиентам лучшие продукты. Обладая опытом и эмпатией, быть Kenvuer означает иметь возможность влиять на миллионы людей каждый день. Мы ставим людей на первое место, заботимся о настолько, завоевываем доверие наукой и смело решаем – и вас ждут блестящие возможности! Присоединяйтесь к нам, чтобы формировать наше будущее и ваше. Для получения дополнительной информации, нажмите here.
Role reports to:
ManagerМестонахождение:
Asia Pacific, India, Karnataka, BangaloreМесто работы:
ГибридЧто ты будешь делать
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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