Data Scientist

Description

Who we Are ?

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.

Our global team is made up with 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers.

With expertise and empathy, being a Kenvuer means to have the power to impact life of 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 .

The Digital Transformation Office is orchestrating our journey to become a Digital First organization by building and deploying end-to-end digital solutions that solve unmet needs and generate value through a fully integrated digital ecosystem.

The Analyst, Data Science will deliver critical insights and intelligence to cross-functional Supply Chain teams through scalable data science solutions.

This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, PMO, IT delivery, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to 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 hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner

What you will do ?

Key Responsibilities

Kenvue's DTO, Digital Transformation Office is leading the transformation of operations with deployment of cutting edge digital solution.

Demand Sensing and Advanced Forecasting is a key effort within data science team of DTO office.

Demand planning master data management is a central activity to drive the forecasting and planning efficiencies.

We are looking to set up a central team to take care of master data management activities.

This will include PIPO, Baseline management, sales history management and Forecasting Analytics.

PIPO is a process to manage the product lifecycle in Demand Planning ERP system.

Products within Kenvue may go through transitions in the scenarios like artwork change, formulation changes, case configuration changes etc.

The PIPO process helps in aligning the sales history and forecast between the predecessors and successors at material code level under such scenarios.

The purpose of baseline management is to establish a process of generating relia...