Kenvueは現在、以下求人を募集しております。
Senior Business 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:
Director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.
Kenvue is currently recruiting for:
Senior Business Analyst, Data Science, Digital Transformation Office
This position reports to Senior Data Science Manager and is based at Bangalore.
Role reports to: Senior Data Science Manager
Location: Bangalore
Travel %: 10%
What you will do:
The Senior Business Analyst, Data Science will work to deliver Optimization solution to cross-functional Supply Chain teams. This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to 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 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:
Mathematical Modeling and Optimization:
- 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.
- Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems.
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 Scientist, Business Analyst, Project Manager to ensure that product is tested and deployed on time.
Research and Innovation:
- Stay updated with 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:
- Master in Industrial Engineering, Operations Research or Management Science or related field with 3+ years of total work 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.
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