Analyst, Data Science

Analyst, Data Science

Cosa facciamo

A Kenvue, ci rendiamo conto dello straordinario potere della cura quotidiana. Costruiti su oltre un secolo di tradizione e radicati nella scienza, siamo la casa di marchi iconici, tra cui NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® che già conosci e ami. La scienza è la nostra passione; la cura è il nostro talento.

Chi siamo

Il nostro team globale è composto da ~ 22.000 persone brillanti con una cultura del posto di lavoro in cui ogni voce conta e ogni contributo è apprezzato. Siamo appassionati di intuizioni, innovazione e impegno a fornire i migliori prodotti ai nostri clienti. Con competenza ed empatia, essere un Kenvuer significa avere il potere di avere un impatto su milioni di persone ogni giorno. Mettiamo le persone al primo posto, ci prendiamo cura di noi, ci guadagniamo la fiducia della scienza e risolviamo con coraggio - e abbiamo brillanti opportunità che ti aspettano! Unisciti a noi per plasmare il nostro futuro e il tuo. Per ulteriori informazioni, fare clic su here.

Role riporta a:

Sr. Manager - DTO Strategy & Operation

Ubicazione:

Asia Pacific, India, Karnataka, Bangalore

Luogo di lavoro:

Ibrido

Cosa farai

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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