Sr. Analyst, Data Science

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

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Was Sie tun werden

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.

Sr. 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 Sr. Analyst, Data Science, you will develop and implement data science and machine learning solutions to solve complex business problems within Kenvue Operations. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value. 

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:

• Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks.
• Apply various data science techniques (e.g., Operations Research, Advanced Forecasting, Machine Learning, and Artificial Intelligence) 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.
• Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment??
• Stay up to date on the latest technological developments across data science, machine learning, operations research, optimization techniques, etc. 
• 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 Computer Science, Operations Research, Management Science or other relevant field 
• 4 – 6 years of business experience, with at least 4 years of experience working as a data science 
• Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms.
• Proficiency with various data science technologies and modeling techniques 
• Strong programming skills in languages such as Python with experience in optimization libraries  and data manipulation tools (e.g., pandas, NumPy).
• Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, AzureML, Synapse, Databricks 
• Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit

Desired Qualifications:

• Knowledge of supply chain concepts and processes, especially within Procurement function and/or Procure to Pay value stream is strongly preferred
• Microsoft certification (e.g., Azure Fundamentals) is preferred
• Machine Learning certification and/or hands on experience developing ML-driven models is preferred 
• APICS certification (e.g., CPIM, CSCP) is preferred
• Experience in creating CI/CD pipelines for deployment using Jenkins is preferred 

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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