Kenvueは現在、a:
私たちがしていること
Kenvueで、日常のケアの並外れた力を実感します。100年以上にわたる伝統を基盤に、科学に根ざした当ホテルは、ニュートロジーナ®、アヴェーノ®、タイレノール®、リステリン®、ジョンソンズ®、バンドエイド®など、すでにお馴染みのアイコニックなブランドを展開しています。科学は私たちの情熱です。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~22,000人の優秀な人々で、すべての声が重要で、すべての貢献が評価される職場文化を持っています。 私たちは洞察に情熱を注いでいます。 革新とお客様に最高の製品を提供することに取り組んでいます。専門知識と共感力を持つKenvuerであることは、毎日何百万人もの人々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、熱心に気を配り、科学で信頼を勝ち取り、勇気を持って解決します。そして、素晴らしい機会があなたを待っています!私たちと一緒に、私たちの、そしてあなたの未来を形作りましょう。詳細についてはをクリックしてくださいhere.
Role reports to:
Sr. Manager - DTO Strategy & Operation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.
Lead Data Scientist
This position reports to Manager, Data Science and is based at Bangalore, India.
Role reports to: Manager, Data Science
Location: Bangalore, India or Hybrid
What you will do:
The Assistant Manager, Data Science will work to deliver Optimization solutions to cross-functional Supply Chain teams. This individual will work with subject matter experts to deeply understand business context, key business questions, and opportunities. They will then collaborate with other teams within the Digital Transformation Office including Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, and ML Ops) ensure delivery of scalable data science solutions.
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 hypotheses through the discovery phase. They will also have excellent written and communications skills to report back findings in a clear, structured manner.
Key Responsibilities
Mathematical Modeling and Optimization:
- Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems
- 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
- Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance.
Data Analysis and Insights:
- Analyze large datasets, extract relevant information, and identify patterns and trends to support decision- making processes.
- Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity.
- Generate actionable insights and recommendations based on data analysis to optimize supply chain operations, reduce costs, and improve customer service levels.
Solution Deployment:
- Present findings, insights, and recommendations in a clear and concise manner.
- Make solution recommendations that appropriately balance speed to market and analytical soundness
- Work with internal stakeholders like Data Engineers, Data Scientists, Business Analysts, and Project Managers to ensure that product is tested and deployed on time.
Research and Innovation:
- 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:
- Bachelor of Science or Bachelor of Engineering at a minimum with specialization in Industrial Engineering, Operations Research, Management Science or related field
- 6 – 8 years of total work experience, with at least 4years of experience in Supply Chain Optimization
- Proficiency in mathematical modeling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms.
- Strong programming skills in languages such as Python,R, or MATLAB, with experience in optimization libraries (e.g., Gurobi,FICO, CPLEX) and data manipulation tools (e.g., pandas, NumPy).
- Experience with data analysis, statistical modeling, and visualization using tools like SQL, Tableau, or Power BI.
- Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks.
Desired Qualifications:
- Master's in industrial engineering, Operations Research, or Management Science
- Experience working in one or multiple supply chain functions
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