Manager, Data Science

Description

Kenvue is currently recruiting for:

MANAGER - DATA SCIENCE

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 or Hybrid

Travel %: xxx

Pay: xxx (if compliant with country laws)

What you will do

The Manager - Data Science is responsible for delivering 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) 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 hypotheses through the discovery phase.

Key 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

• Product development across supply chain functions for data Science including cognitive engineering, conversational bots

• Make solution recommendations that appropriately balance speed to market and analytical soundness, lead service delivery, milestone tracking

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

• 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 new ideas, learnings, and best-practices

• Deploy algorithms to production to identify actionab...