Analyst, Data Science at Kenvue

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, NLP, GenAI, Computer Vision, Data Analysis, Cloud Computing, Pandas, Scikit-learn, Matplotlib, Problem Solving, Visualization, Collaboration, Communication, Agile Methodologies

Industry

Personal Care Product Manufacturing

Description

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 future–and 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 Summary Responsible 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. Job Description 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. At Kenvue, we foster a culture of belonging. In 2024, Kenvue was selected as one of Seramount’s 100 Best Companies for working parents and caregivers, recognizing our ongoing commitment to providing inclusive benefits for Kenvuers and families. Our community attracts curious and collaborative team members motivated by always striving to improve. Our team offers you plenty of opportunities to deepen your existing expertise and build on new skills by broadening your exposure outside of your own category. By working across the business, we harness the power of data and technology in new ways to better understand human insights and drive better health outcomes.

Responsibilities

Responsible for the development of new AI solutions to consolidate and analyze unstructured, diverse big data sources. Create Proof of Concepts and guide them through to production deployment and operationalization of projects.