Assistant Manager, Data Science

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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.

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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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