Assistant Manager, Data Science

Description

Kenvue is currently recruiting for:

Assistant Manager Data Science

This position reports to Manager, Data Science and is based at Bangalore, India.
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: Manager, Data Science Location: Bangalore, India or Hybrid Travel %: 0
What you will do

The Assistant Manager, Data Science will work to deliver Optimization solutions to cross-functional Supply Chain teams.

This individual will work with subject matter experts to deeply understand business context, key business questions, and opportunities.

They will then collaborate with other teams within the Digital Transformation Office including Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, and ML Ops)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.

They will also have excellent written and communications skills to report back findings in a clear, structured manner.

Key Responsibilities

Mathematical Modeling and Optimization:

• Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems.

• Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks.

• Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms to solve complex supply chain problems

• Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance.

Data Analysis and Insights:

• Analyze large datasets, extract relevant information, and identify patterns and trends to support decision- making processes.

• Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensu...