Lead Data Scientist

Description

Lead Data Scientist (PG 26)
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 by 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.
What You Will Do

In this role you will be a part of the global team developing data science solutions and AI products aimed at improving business value and outcomes in the areas of commercial analytics.

The ideal candidate should possess expertise in developing and implementing advanced analytics models.

They should be inquisitive and bring an innovate mindset to work every day, researching, proposing, and testing solution ideas and ways of working to be more agile, lean and productive.

The successful candidate will work with cross-functional teams across regions connect and influence business, analytics and technology partners, data engineers and data scientists to deliver a cohesive and standardized approach to development, deployment & adoption of data products and scalable AI models.

These models will be developed and operationalized across a multi-cloud technology landscape driving business focused insights and analytics.
Responsibilities:

• Develop and implement advanced analytics models for new product forecasting, category forecasting, and price elasticity.

• Model syndicated and POS data with various third-party data to generate strategic insights that are accurate, relevant, understandable and lead to making better decisions.

• Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.

• Support the domain leads and business teams to solve complex analytical challenges.

• Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc.

• Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts.

• Research and promote latest technologies, design patterns and best practice delivery models...