Analyst, Data Science

Kenvue Is Currently Recruiting For a

Analyst, Data Science

What We Do

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSON'S and BAND-AID that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage and have brilliant opportunities waiting for you! Join us in shaping our futureand yours. For more information, click here.

Role Reports To

Manager

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

What You Will Do

Job Description SummaryResponsible for the development of new AI solutions to consolidate and analyze unstructured, diverse big data sources to generate actionable insights using advanced techniques, including but not limited to ML, NLP, GenAI and CV.Major Duties & Responsibilities

• Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions.
• Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects.
• Implement solutions following best practices of Software Development: Code Versioning, CI/CD, Documentation, etc.
• Create visualizations and communication packages for business stakeholders that convey the assumptions, data and techniques used.
• Compare results from various methodologies and recommend optimal techniques.
• Facilitate cross-geography sharing of new ideas, learnings, and best-practices
  

Required Qualifications

• Bachelor of Science or Bachelor of Engineering at a minimum.
• 2-4 years of work experience as a Data Scientist
• Python (Pandas, Scikit-learn, Matplotlib) and SQL
• Strong fundamentals of Machine Learning: Classification, Regression and Clustering.
• 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 a project.
• Experience with cloud computing: Azure, AWS or GCP.
• Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
• Self-motivated and a proactive problem solver who can work independently and in teams
  

Preferred Qualifications

• Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
• Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
• Experience in NLP, Computer Vision.
  

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.