Manager, Data Science

Description

Kenvue is currently recruiting for:

MANAGER DATA SCIENCE - ADVANCED FORECASTING

This position reports to Senior Manager, Data Science and is based at Bangalore, India or Hybrid.

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® Brand Adhesive Bandages that you already know and love.

Science is our passion; care is our talent.

Our global team is made up of ~ 22,000 diverse and brilliant people, 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 the 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 .

Role reports to: Senior Manager, Data Science

Location: Bangalore, India

What you will do

The Manager Data Science - Advanced Forecasting is responsible for delivering critical insights and intelligence to demand planning team under Supply Chain.

This individual will work closely with planning teams, collaborate with regions and markets to make sure market specific insights are incorporated in Data Science models.

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 hypotheses through the discovery phase.

Key Responsibilities


* Work with business stakeholders and cross-functional SMEs to deliver global implementation



* Lead solution design and development along with service delivery across various geographies



* Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices



* Facilitate cross-geography sharing of innovative ideas, learnings, and best-practices



* Influence machine learning strategy for Digital programs and projects Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor



* Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.



* Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.



* Create algorithms to extract information from large, multiparametric data sets.



* Develop and embed automated processes for predictive model validation, deployment, and implementation



* Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and ...